id int64 9 582k | image stringlengths 16 16 | conversations listlengths 1 1 | answer_template stringlengths 42 1.05k | objects listlengths 0 74 | task stringclasses 1 value |
|---|---|---|---|---|---|
391,895 | 000000391895.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"motorcycle\", \"bicycle\", \"toothbrush\", \"broccoli\", \"tv\", \"hot dog\", \"laptop\", \"kite\", \"scissors\", \"sports ball\", \"baseball glove\", \"apple\", \"toaster\", \"couch\", \"cow\", \"backpack\", ... | In this image, there are 1 "motorcycle" (<|Obj_0|>), 1 "bicycle" (<|Obj_1|>), 2 "person" (<|Obj_2|>, <|Obj_3|>). | [
{
"patches": [
129,
130,
131,
151,
152,
153,
154,
174,
175,
176,
177,
197,
198,
199,
200,
220,
221,
222,
223,
243,
244,
245,
246,
266,
267,
268,
290,
... | ovd |
522,418 | 000000522418.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"person\", \"traffic light\", \"parking meter\", \"vase\", \"laptop\", \"sink\", \"toothbrush\", \"dog\", \"tie\", \"bowl\", \"banana\", \"airplane\", \"hot dog\", \"tennis racket\", \"donut\", \"cell phone\", ... | In this image, there are 1 "person" (<|Obj_0|>), 1 "sink" (<|Obj_1|>), 1 "cake" (<|Obj_2|>), 1 "knife" (<|Obj_3|>). | [
{
"patches": [
15,
16,
17,
18,
19,
20,
21,
22,
38,
39,
40,
41,
42,
43,
44,
45,
61,
62,
63,
64,
65,
66,
67,
68,
86,
87,
88,
89,
90,
9... | ovd |
184,613 | 000000184613.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"umbrella\", \"suitcase\", \"apple\", \"elephant\", \"bird\", \"toilet\", \"person\", \"truck\", \"baseball bat\", \"tie\", \"sports ball\", \"pizza\", \"surfboard\", \"cake\", \"carrot\", \"dog\", \"book\", \"... | In this image, there are 1 "umbrella" (<|Obj_0|>), 14 "person" (<|Obj_1|>, <|Obj_2|>, <|Obj_3|>, <|Obj_4|>, <|Obj_5|>, <|Obj_6|>, <|Obj_7|>, <|Obj_8|>, <|Obj_9|>, <|Obj_10|>, <|Obj_11|>, <|Obj_12|>, <|Obj_13|>, <|Obj_14|>), 9 "cow" (<|Obj_15|>, <|Obj_16|>, <|Obj_17|>, <|Obj_18|>, <|Obj_19|>, <|Obj_20|>, <|Obj_21|>, <|Obj_22|>, <|Obj_23|>). | [
{
"patches": [
22,
23,
24,
25,
26,
39,
40,
41,
42,
43,
44,
45,
58,
59,
60,
62,
63,
76,
77,
78,
80,
96,
97
],
"bbox": [
0.20688,
0.09229166666666667,
... | ovd |
318,219 | 000000318219.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"keyboard\", \"cup\", \"suitcase\", \"person\", \"motorcycle\", \"sandwich\", \"oven\", \"book\", \"fork\", \"potted plant\", \"laptop\", \"couch\", \"remote\", \"cake\", \"backpack\", \"carrot\", \"traffic lig... | In this image, there are 2 "keyboard" (<|Obj_0|>, <|Obj_1|>), 2 "person" (<|Obj_2|>, <|Obj_3|>), 3 "tv" (<|Obj_4|>, <|Obj_5|>, <|Obj_6|>), 4 "mouse" (<|Obj_7|>, <|Obj_8|>, <|Obj_9|>, <|Obj_10|>). | [
{
"patches": [
352,
353,
354,
355,
356,
371,
372,
373,
374,
375,
376,
391,
392,
393,
394,
395,
396,
411,
412,
413,
414,
415,
416
],
"bbox": [
0.5652158273381295... | ovd |
554,625 | 000000554625.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"banana\", \"tennis racket\", \"parking meter\", \"dog\", \"motorcycle\", \"traffic light\", \"keyboard\", \"toothbrush\", \"umbrella\", \"hair drier\", \"teddy bear\", \"surfboard\", \"bottle\", \"sheep\", \"t... | In this image, there are 4 "keyboard" (<|Obj_0|>, <|Obj_1|>, <|Obj_2|>, <|Obj_3|>), 5 "person" (<|Obj_4|>, <|Obj_5|>, <|Obj_6|>, <|Obj_7|>, <|Obj_8|>), 5 "tv" (<|Obj_9|>, <|Obj_10|>, <|Obj_11|>, <|Obj_12|>, <|Obj_13|>), 5 "mouse" (<|Obj_14|>, <|Obj_15|>, <|Obj_16|>, <|Obj_17|>, <|Obj_18|>). | [
{
"patches": [
279,
280,
281,
282,
293,
294,
295,
296,
297,
308,
309,
310,
311,
312
],
"bbox": [
0.5711971830985916,
0.7895312500000001,
0.8690845070422536,
0.9089218750000001
],
"iscrowd"... | ovd |
574,769 | 000000574769.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"potted plant\", \"zebra\", \"clock\", \"horse\", \"elephant\", \"bottle\", \"sheep\", \"parking meter\", \"motorcycle\", \"bird\", \"baseball bat\", \"toaster\", \"oven\", \"hot dog\", \"remote\", \"tv\", \"bo... | In this image, there are 1 "potted plant" (<|Obj_0|>), 1 "clock" (<|Obj_1|>), 2 "bottle" (<|Obj_2|>, <|Obj_3|>), 1 "oven" (<|Obj_4|>), 1 "bowl" (<|Obj_5|>), 1 "sink" (<|Obj_6|>), 1 "refrigerator" (<|Obj_7|>), 1 "spoon" (<|Obj_8|>), 7 "orange" (<|Obj_9|>, <|Obj_10|>, <|Obj_11|>, <|Obj_12|>, <|Obj_13|>, <|Obj_14|>, <|Obj_15|>), 1 "cat" (<|Obj_16|>), 1 "handbag" (<|Obj_17|>), 1 "person" (<|Obj_18|>). | [
{
"patches": [
103,
104,
119,
120,
121,
136,
137,
138,
139,
153,
154,
155,
156,
171,
188
],
"bbox": [
0.00008333333333333334,
0.26675,
0.2126041666666667,
0.48939062500000013
],
"isc... | ovd |
60,623 | 000000060623.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"fire hydrant\", \"orange\", \"skateboard\", \"cell phone\", \"microwave\", \"handbag\", \"broccoli\", \"tv\", \"tennis racket\", \"bed\", \"chair\", \"cow\", \"toaster\", \"horse\", \"banana\", \"train\", \"ca... | In this image, there are 3 "person" (<|Obj_0|>, <|Obj_1|>, <|Obj_2|>), 1 "spoon" (<|Obj_3|>), 1 "bowl" (<|Obj_4|>), 1 "dining table" (<|Obj_5|>), 1 "wine glass" (<|Obj_6|>). | [
{
"patches": [
1,
2,
3,
4,
5,
6,
7,
8,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
69,
70,
... | ovd |
309,022 | 000000309022.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"bicycle\", \"cup\", \"book\", \"teddy bear\", \"knife\", \"umbrella\", \"stop sign\", \"clock\", \"toilet\", \"truck\", \"bench\", \"hot dog\", \"backpack\", \"skateboard\", \"handbag\", \"donut\", \"bus\", \"... | In this image, there are 2 "oven" (<|Obj_0|>, <|Obj_1|>), 1 "sink" (<|Obj_2|>), 4 "bottle" (<|Obj_3|>, <|Obj_4|>, <|Obj_5|>, <|Obj_6|>), 1 "bowl" (<|Obj_7|>). | [
{
"patches": [
117,
118,
119,
120,
121,
122,
140,
141,
142,
143,
144,
145,
163,
164,
165,
166,
167,
168,
186,
187,
188,
189,
190,
191,
210,
211,
212,
... | ovd |
5,802 | 000000005802.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"toilet\", \"scissors\", \"horse\", \"backpack\", \"suitcase\", \"toaster\", \"cake\", \"baseball glove\", \"oven\", \"orange\", \"book\", \"skateboard\", \"teddy bear\", \"snowboard\", \"motorcycle\", \"potted... | In this image, there are 1 "backpack" (<|Obj_0|>), 2 "person" (<|Obj_1|>, <|Obj_2|>), 8 "cup" (<|Obj_3|>, <|Obj_4|>, <|Obj_5|>, <|Obj_6|>, <|Obj_7|>, <|Obj_8|>, <|Obj_9|>, <|Obj_10|>), 7 "bottle" (<|Obj_11|>, <|Obj_12|>, <|Obj_13|>, <|Obj_14|>, <|Obj_15|>, <|Obj_16|>, <|Obj_17|>), 4 "knife" (<|Obj_18|>, <|Obj_19|>, <|Obj_20|>, <|Obj_21|>), 4 "bowl" (<|Obj_22|>, <|Obj_23|>, <|Obj_24|>, <|Obj_25|>). | [
{
"patches": [
184,
185,
207,
208,
209
],
"bbox": [
0.004390625,
0.501043841336117,
0.10065625,
0.5900208768267224
],
"iscrowd": 0,
"area": 2138.8686,
"rle": {
"size": [
479,
640
],
"counts": "Ve1a0U>... | ovd |
222,564 | 000000222564.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"person\", \"bottle\", \"oven\", \"dining table\", \"microwave\", \"toothbrush\", \"sports ball\", \"elephant\", \"chair\", \"pizza\", \"cake\", \"skis\", \"spoon\", \"skateboard\", \"tv\", \"horse\", \"clock\"... | In this image, there are 2 "person" (<|Obj_0|>, <|Obj_1|>), 1 "bottle" (<|Obj_2|>), 3 "oven" (<|Obj_3|>, <|Obj_4|>, <|Obj_5|>), 1 "dining table" (<|Obj_6|>), 1 "microwave" (<|Obj_7|>). | [
{
"patches": [
115,
138,
161,
184,
185,
207,
208,
230,
231,
232,
253,
254,
255,
276,
277,
299,
300
],
"bbox": [
0.0033593750000000004,
0.30070833333333336,
0.12443750000000002,
0... | ovd |
118,113 | 000000118113.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"kite\", \"bicycle\", \"bench\", \"person\", \"snowboard\", \"wine glass\", \"surfboard\", \"skateboard\", \"microwave\", \"tv\", \"parking meter\", \"umbrella\", \"suitcase\", \"bird\", \"hair drier\", \"brocc... | In this image, there are 7 "book" (<|Obj_0|>, <|Obj_1|>, <|Obj_2|>, <|Obj_3|>, <|Obj_4|>, <|Obj_5|>, <|Obj_6|>), 1 "bottle" (<|Obj_7|>), 2 "oven" (<|Obj_8|>, <|Obj_9|>), 1 "dining table" (<|Obj_10|>). | [
{
"patches": [
112,
113
],
"bbox": [
0.59175,
0.281609375,
0.6829583333333334,
0.30484375
],
"iscrowd": 0,
"area": 474.5779000000002,
"rle": {
"size": [
640,
480
],
"counts": "hea55kc06J0000000000O10O100000000000000000... | ovd |
193,271 | 000000193271.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"microwave\", \"bowl\", \"oven\", \"spoon\", \"cup\", \"apple\", \"dog\", \"fire hydrant\", \"bottle\", \"fork\", \"truck\", \"suitcase\", \"vase\", \"skateboard\", \"car\", \"bicycle\", \"person\", \"toaster\"... | In this image, there are 1 "microwave" (<|Obj_0|>), 3 "bowl" (<|Obj_1|>, <|Obj_2|>, <|Obj_3|>), 1 "oven" (<|Obj_4|>), 2 "spoon" (<|Obj_5|>, <|Obj_6|>), 3 "cup" (<|Obj_7|>, <|Obj_8|>, <|Obj_9|>), 5 "bottle" (<|Obj_10|>, <|Obj_11|>, <|Obj_12|>, <|Obj_13|>, <|Obj_14|>), 1 "fork" (<|Obj_15|>), 1 "toaster" (<|Obj_16|>), 1 "sink" (<|Obj_17|>), 2 "wine glass" (<|Obj_18|>, <|Obj_19|>). | [
{
"patches": [
37,
38,
39,
54,
55,
56,
57,
71,
72,
73,
74
],
"bbox": [
0.19066666666666668,
0.264625,
0.3701041666666666,
0.4401875
],
"iscrowd": 0,
"area": 4155.862400000001,
"rle": {
"size":... | ovd |
224,736 | 000000224736.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"bed\", \"zebra\", \"cake\", \"oven\", \"car\", \"toothbrush\", \"person\", \"sink\", \"kite\", \"laptop\", \"elephant\", \"bowl\", \"horse\", \"bicycle\", \"donut\", \"mouse\", \"microwave\", \"boat\", \"suitc... | In this image, there are 1 "sink" (<|Obj_0|>), 1 "toilet" (<|Obj_1|>). | [
{
"patches": [
132,
133,
134,
154,
155,
156,
157,
179,
180
],
"bbox": [
0.734515625,
0.34690866510538637,
0.8626093749999999,
0.4854566744730679
],
"iscrowd": 0,
"area": 3783.2890000000025,
"rle": {
"size... | ovd |
483,108 | 000000483108.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"kite\", \"microwave\", \"oven\", \"skateboard\", \"sports ball\", \"hair drier\", \"traffic light\", \"cat\", \"chair\", \"toothbrush\", \"train\", \"elephant\", \"keyboard\", \"zebra\", \"banana\", \"book\", ... | In this image, there are 1 "train" (<|Obj_0|>), 1 "stop sign" (<|Obj_1|>), 1 "person" (<|Obj_2|>), 1 "bicycle" (<|Obj_3|>). | [
{
"patches": [
103,
113,
114,
115,
116,
117,
118,
123,
124,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
... | ovd |
403,013 | 000000403013.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"frisbee\", \"skateboard\", \"bowl\", \"airplane\", \"refrigerator\", \"zebra\", \"giraffe\", \"tennis racket\", \"skis\", \"bird\", \"stop sign\", \"sandwich\", \"broccoli\", \"person\", \"couch\", \"hot dog\"... | In this image, there are 1 "bowl" (<|Obj_0|>), 1 "refrigerator" (<|Obj_1|>), 1 "oven" (<|Obj_2|>), 1 "sink" (<|Obj_3|>), 1 "microwave" (<|Obj_4|>). | [
{
"patches": [
89,
90
],
"bbox": [
0.14983388704318937,
0.5180888888888888,
0.2633222591362126,
0.5595333333333333
],
"iscrowd": 0,
"area": 540.7867000000001,
"rle": {
"size": [
450,
301
],
"counts": "YPd04m=:F1O100O10... | ovd |
374,628 | 000000374628.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"vase\", \"laptop\", \"dining table\", \"bowl\", \"chair\", \"microwave\", \"sink\", \"cup\", \"motorcycle\", \"cake\", \"potted plant\", \"backpack\", \"parking meter\", \"cat\", \"bird\", \"bear\", \"scissors... | In this image, there are 4 "vase" (<|Obj_0|>, <|Obj_1|>, <|Obj_2|>, <|Obj_3|>), 1 "laptop" (<|Obj_4|>), 1 "dining table" (<|Obj_5|>), 2 "bowl" (<|Obj_6|>, <|Obj_7|>), 4 "chair" (<|Obj_8|>, <|Obj_9|>, <|Obj_10|>, <|Obj_11|>), 1 "microwave" (<|Obj_12|>), 1 "sink" (<|Obj_13|>), 3 "cup" (<|Obj_14|>, <|Obj_15|>, <|Obj_16|>), 1 "oven" (<|Obj_17|>), 1 "bench" (<|Obj_18|>), 2 "apple" (<|Obj_19|>, <|Obj_20|>), 1 "refrigerator" (<|Obj_21|>), 1 "spoon" (<|Obj_22|>). | [
{
"patches": [
172
],
"bbox": [
0.47670312499999995,
0.5810736196319018,
0.5018906249999999,
0.6557668711656441
],
"iscrowd": 0,
"area": 283.7284499999998,
"rle": {
"size": [
326,
640
],
"counts": "dYQ35j98M2O2M3M2M22O00003M... | ovd |
328,757 | 000000328757.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"microwave\", \"pizza\", \"giraffe\", \"carrot\", \"spoon\", \"tennis racket\", \"fork\", \"cat\", \"dining table\", \"frisbee\", \"kite\", \"sheep\", \"hot dog\", \"handbag\", \"sandwich\", \"remote\", \"skate... | In this image, there are 1 "microwave" (<|Obj_0|>), 1 "spoon" (<|Obj_1|>), 1 "person" (<|Obj_2|>), 1 "oven" (<|Obj_3|>), 1 "bottle" (<|Obj_4|>), 2 "broccoli" (<|Obj_5|>, <|Obj_6|>). | [
{
"patches": [
141,
142,
143,
160,
161,
179,
197
],
"bbox": [
0.855,
0.6112349397590361,
1,
0.9101204819277109
],
"iscrowd": 0,
"area": 3283.78615,
"rle": {
"size": [
332,
500
],
"counts":... | ovd |
384,213 | 000000384213.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"bowl\", \"book\", \"oven\", \"sink\", \"mouse\", \"skis\", \"fork\", \"baseball bat\", \"handbag\", \"cow\", \"tie\", \"hot dog\", \"keyboard\", \"cup\", \"zebra\", \"dog\", \"potted plant\", \"orange\", \"bic... | In this image, there are 1 "bowl" (<|Obj_0|>), 1 "book" (<|Obj_1|>), 1 "oven" (<|Obj_2|>), 2 "sink" (<|Obj_3|>, <|Obj_4|>), 5 "bottle" (<|Obj_5|>, <|Obj_6|>, <|Obj_7|>, <|Obj_8|>, <|Obj_9|>). | [
{
"patches": [
136,
149,
150,
162
],
"bbox": [
0.4545333333333333,
0.60568,
0.5532533333333333,
0.6714
],
"iscrowd": 0,
"area": 948.8893500000003,
"rle": {
"size": [
500,
375
],
"counts": "cic22a?3M7I8H9G1N... | ovd |
293,802 | 000000293802.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"tie\", \"cow\", \"bottle\", \"scissors\", \"baseball bat\", \"clock\", \"handbag\", \"refrigerator\", \"toothbrush\", \"bowl\", \"zebra\", \"remote\", \"cell phone\", \"hair drier\", \"bench\", \"horse\", \"pi... | In this image, there are 1 "bicycle" (<|Obj_0|>), 2 "dining table" (<|Obj_1|>, <|Obj_2|>), 4 "umbrella" (<|Obj_3|>, <|Obj_4|>, <|Obj_5|>, <|Obj_6|>), 13 "person" (<|Obj_7|>, <|Obj_8|>, <|Obj_9|>, <|Obj_10|>, <|Obj_11|>, <|Obj_12|>, <|Obj_13|>, <|Obj_14|>, <|Obj_15|>, <|Obj_16|>, <|Obj_17|>, <|Obj_18|>, <|Obj_19|>), 2 "chair" (<|Obj_20|>, <|Obj_21|>), 1 "skateboard" (<|Obj_22|>). | [
{
"patches": [
75,
90,
91,
105,
106
],
"bbox": [
0,
0.24720312500000005,
0.10715294117647059,
0.326078125
],
"iscrowd": 0,
"area": 1129.0772000000002,
"rle": {
"size": [
640,
425
],
"counts": "k5e0Uc0... | ovd |
86,408 | 000000086408.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"oven\", \"book\", \"bicycle\", \"microwave\", \"kite\", \"dining table\", \"train\", \"bus\", \"person\", \"sheep\", \"banana\", \"tv\", \"refrigerator\", \"frisbee\", \"wine glass\", \"motorcycle\", \"tie\", ... | In this image, there are 1 "oven" (<|Obj_0|>), 1 "microwave" (<|Obj_1|>), 1 "refrigerator" (<|Obj_2|>). | [
{
"patches": [
122,
123,
124,
125,
126,
145,
146,
147,
148,
149,
150,
168,
169,
170,
171,
172,
173,
174,
192,
193,
194,
195,
196,
197,
216,
217,
218,
... | ovd |
372,938 | 000000372938.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"donut\", \"sink\", \"car\", \"sheep\", \"fork\", \"airplane\", \"remote\", \"tennis racket\", \"spoon\", \"truck\", \"bench\", \"potted plant\", \"bottle\", \"book\", \"cow\", \"train\", \"microwave\", \"cup\"... | In this image, there are 1 "truck" (<|Obj_0|>), 1 "backpack" (<|Obj_1|>), 7 "person" (<|Obj_2|>, <|Obj_3|>, <|Obj_4|>, <|Obj_5|>, <|Obj_6|>, <|Obj_7|>, <|Obj_8|>). | [
{
"patches": [
122,
123,
124,
125,
126,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
167,
168,
169,
170,
171,
172,
173,
174,
175,
176,
190,
191,
... | ovd |
386,164 | 000000386164.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"fork\", \"dining table\", \"bus\", \"tennis racket\", \"banana\", \"cow\", \"oven\", \"clock\", \"truck\", \"traffic light\", \"bed\", \"skateboard\", \"bicycle\", \"tv\", \"person\", \"spoon\", \"remote\", \"... | In this image, there are 2 "fork" (<|Obj_0|>, <|Obj_1|>), 1 "dining table" (<|Obj_2|>), 12 "spoon" (<|Obj_3|>, <|Obj_4|>, <|Obj_5|>, <|Obj_6|>, <|Obj_7|>, <|Obj_8|>, <|Obj_9|>, <|Obj_10|>, <|Obj_11|>, <|Obj_12|>, <|Obj_13|>, <|Obj_14|>). | [
{
"patches": [
187,
188,
189,
204,
205,
206,
207,
208,
209,
210,
211,
212,
213,
214,
227,
228,
229,
230,
231,
232,
233,
234,
235,
236,
237,
251,
252,
... | ovd |
223,648 | 000000223648.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"apple\", \"cell phone\", \"cake\", \"pizza\", \"bus\", \"carrot\", \"microwave\", \"bowl\", \"person\", \"frisbee\", \"parking meter\", \"kite\", \"surfboard\", \"cat\", \"skateboard\", \"hair drier\", \"giraf... | In this image, there are 6 "chair" (<|Obj_0|>, <|Obj_1|>, <|Obj_2|>, <|Obj_3|>, <|Obj_4|>, <|Obj_5|>), 14 "spoon" (<|Obj_6|>, <|Obj_7|>, <|Obj_8|>, <|Obj_9|>, <|Obj_10|>, <|Obj_11|>, <|Obj_12|>, <|Obj_13|>, <|Obj_14|>, <|Obj_15|>, <|Obj_16|>, <|Obj_17|>, <|Obj_18|>, <|Obj_19|>), 14 "book" (<|Obj_20|>, <|Obj_21|>, <|Obj_22|>, <|Obj_23|>, <|Obj_24|>, <|Obj_25|>, <|Obj_26|>, <|Obj_27|>, <|Obj_28|>, <|Obj_29|>, <|Obj_30|>, <|Obj_31|>, <|Obj_32|>, <|Obj_33|>), 3 "fork" (<|Obj_34|>, <|Obj_35|>, <|Obj_36|>), 1 "dining table" (<|Obj_37|>). | [
{
"patches": [
227,
228,
244,
245,
246,
262,
263,
279,
280,
281,
295,
296,
297,
298,
299,
312,
313,
314,
315,
316,
329,
331,
332,
348,
349,
365,
382
... | ovd |
204,805 | 000000204805.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"frisbee\", \"cell phone\", \"surfboard\", \"broccoli\", \"microwave\", \"teddy bear\", \"knife\", \"airplane\", \"scissors\", \"chair\", \"cup\", \"bowl\", \"donut\", \"dog\", \"car\", \"tennis racket\", \"rem... | In this image, there are 14 "person" (<|Obj_0|>, <|Obj_1|>, <|Obj_2|>, <|Obj_3|>, <|Obj_4|>, <|Obj_5|>, <|Obj_6|>, <|Obj_7|>, <|Obj_8|>, <|Obj_9|>, <|Obj_10|>, <|Obj_11|>, <|Obj_12|>, <|Obj_13|>), 1 "boat" (<|Obj_14|>). | [
{
"patches": [
122,
123
],
"bbox": [
0.80776,
0.4916763005780347,
0.86336,
0.5885838150289017
],
"iscrowd": 0,
"area": 675.2959500000007,
"rle": {
"size": [
346,
500
],
"counts": "\\fX48Z:8M3N200O1I\\OXFd0c9<000000000O... | ovd |
113,588 | 000000113588.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"tv\", \"laptop\", \"keyboard\", \"person\", \"sports ball\", \"cat\", \"pizza\", \"parking meter\", \"backpack\", \"sink\", \"wine glass\", \"cake\", \"hair drier\", \"horse\", \"bottle\", \"bed\", \"snowboard... | In this image, there are 2 "tv" (<|Obj_0|>, <|Obj_1|>), 1 "laptop" (<|Obj_2|>), 2 "keyboard" (<|Obj_3|>, <|Obj_4|>), 4 "person" (<|Obj_5|>, <|Obj_6|>, <|Obj_7|>, <|Obj_8|>), 2 "mouse" (<|Obj_9|>, <|Obj_10|>). | [
{
"patches": [
93,
94,
95,
107,
108,
109,
110,
120,
121,
122,
123,
124,
125,
135,
136,
137,
138,
139,
140,
141,
150,
151,
152,
153,
154,
155,
156,
... | ovd |
384,553 | 000000384553.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"hair drier\", \"kite\", \"airplane\", \"motorcycle\", \"boat\", \"donut\", \"clock\", \"potted plant\", \"zebra\", \"umbrella\", \"sink\", \"microwave\", \"frisbee\", \"cake\", \"vase\", \"bowl\", \"skis\", \"... | In this image, there are 2 "elephant" (<|Obj_0|>, <|Obj_1|>), 1 "person" (<|Obj_2|>). | [
{
"patches": [
238,
239,
242,
243,
244,
261,
262,
263,
264,
265,
266,
267,
268,
284,
285,
286,
287,
288,
289,
290,
291,
307,
308,
309,
310,
311,
312,
... | ovd |
337,264 | 000000337264.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"bowl\", \"person\", \"spoon\", \"clock\", \"frisbee\", \"orange\", \"sandwich\", \"scissors\", \"cat\", \"sheep\", \"traffic light\", \"apple\", \"knife\", \"baseball bat\", \"tie\", \"hair drier\", \"motorcyc... | In this image, there are 1 "bowl" (<|Obj_0|>), 3 "person" (<|Obj_1|>, <|Obj_2|>, <|Obj_3|>), 3 "spoon" (<|Obj_4|>, <|Obj_5|>, <|Obj_6|>), 1 "clock" (<|Obj_7|>), 1 "cup" (<|Obj_8|>), 5 "bottle" (<|Obj_9|>, <|Obj_10|>, <|Obj_11|>, <|Obj_12|>, <|Obj_13|>). | [
{
"patches": [
211,
212,
213,
214,
235,
236,
237
],
"bbox": [
0.18296875,
0.6174707259953162,
0.32990625,
0.6763466042154567
],
"iscrowd": 0,
"area": 2052.5467499999995,
"rle": {
"size": [
427,
640
... | ovd |
368,402 | 000000368402.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"orange\", \"spoon\", \"knife\", \"sink\", \"cow\", \"mouse\", \"tv\", \"bottle\", \"stop sign\", \"person\", \"bowl\", \"refrigerator\", \"hair drier\", \"dog\", \"snowboard\", \"skis\", \"cup\", \"oven\", \"p... | In this image, there are 1 "orange" (<|Obj_0|>), 3 "spoon" (<|Obj_1|>, <|Obj_2|>, <|Obj_3|>), 1 "knife" (<|Obj_4|>), 1 "sink" (<|Obj_5|>), 3 "bottle" (<|Obj_6|>, <|Obj_7|>, <|Obj_8|>), 1 "person" (<|Obj_9|>), 2 "bowl" (<|Obj_10|>, <|Obj_11|>), 1 "refrigerator" (<|Obj_12|>), 1 "cup" (<|Obj_13|>), 1 "oven" (<|Obj_14|>), 1 "wine glass" (<|Obj_15|>). | [
{
"patches": [
186,
209
],
"bbox": [
0.08728125,
0.5905386416861826,
0.11259375000000002,
0.6270960187353629
],
"iscrowd": 0,
"area": 203.22899999999993,
"rle": {
"size": [
427,
640
],
"counts": "Wcg09Q=2N2O1O0O2O00000... | ovd |
12,448 | 000000012448.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"sheep\", \"refrigerator\", \"backpack\", \"scissors\", \"baseball bat\", \"hair drier\", \"spoon\", \"bench\", \"elephant\", \"bus\", \"cell phone\", \"clock\", \"bear\", \"zebra\", \"book\", \"orange\", \"per... | In this image, there are 1 "person" (<|Obj_0|>), 1 "teddy bear" (<|Obj_1|>). | [
{
"patches": [
69,
70,
71,
72,
83,
84,
85,
86,
87,
88,
97,
98,
99,
100,
101,
102,
103,
111,
112,
113,
114,
115,
116,
117,
118,
119,
126,
127,
... | ovd |
79,841 | 000000079841.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"vase\", \"parking meter\", \"dog\", \"fork\", \"apple\", \"toilet\", \"bed\", \"cow\", \"couch\", \"keyboard\", \"clock\", \"bicycle\", \"horse\", \"car\", \"mouse\", \"skateboard\", \"fire hydrant\", \"bear\"... | In this image, there are 2 "bicycle" (<|Obj_0|>, <|Obj_1|>), 2 "person" (<|Obj_2|>, <|Obj_3|>), 2 "backpack" (<|Obj_4|>, <|Obj_5|>). | [
{
"patches": [
121,
122,
143,
144,
145,
146
],
"bbox": [
0.246203125,
0.703755868544601,
0.35201562500000005,
0.8861971830985915
],
"iscrowd": 0,
"area": 1450.4729499999996,
"rle": {
"size": [
213,
640
... | ovd |
515,289 | 000000515289.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"car\", \"bird\", \"hot dog\", \"apple\", \"surfboard\", \"banana\", \"couch\", \"knife\", \"clock\", \"pizza\", \"dog\", \"kite\", \"bicycle\", \"cup\", \"motorcycle\", \"vase\", \"cell phone\", \"teddy bear\"... | In this image, there are 1 "bird" (<|Obj_0|>), 3 "bicycle" (<|Obj_1|>, <|Obj_2|>, <|Obj_3|>), 7 "person" (<|Obj_4|>, <|Obj_5|>, <|Obj_6|>, <|Obj_7|>, <|Obj_8|>, <|Obj_9|>, <|Obj_10|>), 1 "umbrella" (<|Obj_11|>). | [
{
"patches": [
417,
439,
440,
460,
461,
462,
463,
483,
484,
485
],
"bbox": [
0.0010641627543035994,
0.821359375,
0.16672926447574335,
0.96096875
],
"iscrowd": 0,
"area": 3267.7422999999976,
"rle": {
... | ovd |
562,150 | 000000562150.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"bicycle\", \"cat\", \"pizza\", \"traffic light\", \"spoon\", \"train\", \"tv\", \"laptop\", \"refrigerator\", \"clock\", \"surfboard\", \"bench\", \"vase\", \"motorcycle\", \"sheep\", \"backpack\", \"tennis ra... | In this image, there are 1 "bicycle" (<|Obj_0|>), 1 "cat" (<|Obj_1|>), 1 "person" (<|Obj_2|>). | [
{
"patches": [
15,
16,
17,
18,
38,
39,
40,
41,
61,
62,
63,
64,
84,
85,
86,
109,
110,
131,
132,
154,
155,
176,
177,
178,
199,
200,
201,
222,
... | ovd |
542,145 | 000000542145.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"refrigerator\", \"cow\", \"sheep\", \"bed\", \"donut\", \"banana\", \"cat\", \"traffic light\", \"hot dog\", \"couch\", \"kite\", \"teddy bear\", \"car\", \"sports ball\", \"bench\", \"baseball glove\", \"sink... | In this image, there are 1 "sink" (<|Obj_0|>), 2 "bottle" (<|Obj_1|>, <|Obj_2|>), 1 "toilet" (<|Obj_3|>), 2 "toothbrush" (<|Obj_4|>, <|Obj_5|>). | [
{
"patches": [
121,
122,
123,
124,
125,
126,
127,
128
],
"bbox": [
0.3685333333333333,
0.50112,
0.8778933333333332,
0.53034
],
"iscrowd": 0,
"area": 2089.179150000002,
"rle": {
"size": [
500,
37... | ovd |
412,151 | 000000412151.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"bottle\", \"donut\", \"skateboard\", \"baseball glove\", \"cat\", \"baseball bat\", \"teddy bear\", \"surfboard\", \"cake\", \"hair drier\", \"bench\", \"hot dog\", \"bowl\", \"microwave\", \"cell phone\", \"d... | In this image, there are 7 "bottle" (<|Obj_0|>, <|Obj_1|>, <|Obj_2|>, <|Obj_3|>, <|Obj_4|>, <|Obj_5|>, <|Obj_6|>), 1 "cell phone" (<|Obj_7|>), 3 "bicycle" (<|Obj_8|>, <|Obj_9|>, <|Obj_10|>), 2 "person" (<|Obj_11|>, <|Obj_12|>), 1 "book" (<|Obj_13|>). | [
{
"patches": [
93,
111
],
"bbox": [
0.20912,
0.453502994011976,
0.22572,
0.5186227544910179
],
"iscrowd": 0,
"area": 148.14714999999995,
"rle": {
"size": [
334,
500
],
"counts": "j\\R1a0k92O1O1001O1O6F^Rn3"
},
... | ovd |
579,003 | 000000579003.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"backpack\", \"surfboard\", \"oven\", \"couch\", \"toaster\", \"sheep\", \"bench\", \"tennis racket\", \"horse\", \"traffic light\", \"fire hydrant\", \"bird\", \"handbag\", \"sink\", \"truck\", \"orange\", \"d... | In this image, there are 1 "backpack" (<|Obj_0|>), 2 "sink" (<|Obj_1|>, <|Obj_2|>), 1 "person" (<|Obj_3|>). | [
{
"patches": [
150,
151,
167,
168,
184,
185
],
"bbox": [
0.8391875000000001,
0.36942187500000007,
0.9196041666666668,
0.463390625
],
"iscrowd": 0,
"area": 1557.34115,
"rle": {
"size": [
640,
480
],
... | ovd |
540,186 | 000000540186.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"sink\", \"backpack\", \"fork\", \"banana\", \"cell phone\", \"bird\", \"baseball bat\", \"boat\", \"stop sign\", \"skis\", \"scissors\", \"cake\", \"horse\", \"toaster\", \"vase\", \"spoon\", \"motorcycle\", \... | There are 2 "sink" (<|Obj_0|>, <|Obj_1|>) in this image. | [
{
"patches": [
232,
233,
234,
235
],
"bbox": [
0.5539452495974235,
0.431234375,
0.713220611916264,
0.47310937500000005
],
"iscrowd": 0,
"area": 1499.8812000000012,
"rle": {
"size": [
640,
621
],
"counts": "... | ovd |
242,611 | 000000242611.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"chair\", \"sink\", \"potted plant\", \"toilet\", \"vase\", \"toaster\", \"traffic light\", \"skis\", \"suitcase\", \"giraffe\", \"tie\", \"cow\", \"fire hydrant\", \"refrigerator\", \"bear\", \"bottle\", \"for... | In this image, there are 1 "chair" (<|Obj_0|>), 1 "sink" (<|Obj_1|>), 2 "potted plant" (<|Obj_2|>, <|Obj_3|>), 1 "toilet" (<|Obj_4|>), 1 "vase" (<|Obj_5|>). | [
{
"patches": [
180,
203,
226
],
"bbox": [
0.8173593750000002,
0.568434065934066,
0.871234375,
0.7312637362637363
],
"iscrowd": 0,
"area": 673.1116000000004,
"rle": {
"size": [
364,
640
],
"counts": "fSj51Z;1O1O10... | ovd |
51,191 | 000000051191.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"broccoli\", \"toothbrush\", \"sports ball\", \"bicycle\", \"cell phone\", \"fork\", \"cake\", \"sheep\", \"kite\", \"skateboard\", \"traffic light\", \"cup\", \"bottle\", \"apple\", \"dog\", \"refrigerator\", ... | In this image, there are 1 "sink" (<|Obj_0|>), 2 "vase" (<|Obj_1|>, <|Obj_2|>), 1 "potted plant" (<|Obj_3|>). | [
{
"patches": [
255,
256,
277,
278
],
"bbox": [
0.5874203821656051,
0.5113749999999999,
0.660764331210191,
0.5332031250000001
],
"iscrowd": 0,
"area": 369.97035000000045,
"rle": {
"size": [
640,
628
],
"coun... | ovd |
269,105 | 000000269105.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"cell phone\", \"sports ball\", \"donut\", \"elephant\", \"handbag\", \"person\", \"microwave\", \"suitcase\", \"potted plant\", \"fork\", \"dog\", \"car\", \"horse\", \"keyboard\", \"sandwich\", \"cat\", \"bot... | In this image, there are 1 "potted plant" (<|Obj_0|>), 1 "toilet" (<|Obj_1|>). | [
{
"patches": [
210,
211,
212,
226,
227,
228,
229,
230,
231,
243,
244,
245,
246,
247,
261,
262,
263,
264,
278,
279,
280,
281,
295,
296,
297,
298,
312,
... | ovd |
294,832 | 000000294832.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"toaster\", \"giraffe\", \"cup\", \"surfboard\", \"microwave\", \"bed\", \"donut\", \"boat\", \"keyboard\", \"skis\", \"dog\", \"truck\", \"toothbrush\", \"baseball glove\", \"sports ball\", \"tennis racket\", ... | In this image, there are 1 "toilet" (<|Obj_0|>), 1 "sink" (<|Obj_1|>). | [
{
"patches": [
207,
208,
209,
210,
230,
231,
232,
233,
253,
254,
255,
256,
276,
277,
278,
279,
280,
281,
299,
300,
301,
302,
303,
304,
322,
323,
324,
... | ovd |
462,565 | 000000462565.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"fire hydrant\", \"car\", \"truck\", \"backpack\", \"sandwich\", \"bowl\", \"keyboard\", \"person\", \"baseball bat\", \"hair drier\", \"cup\", \"cell phone\", \"broccoli\", \"tennis racket\", \"scissors\", \"t... | In this image, there are 1 "fire hydrant" (<|Obj_0|>), 6 "car" (<|Obj_1|>, <|Obj_2|>, <|Obj_3|>, <|Obj_4|>, <|Obj_5|>, <|Obj_6|>), 1 "truck" (<|Obj_7|>), 3 "backpack" (<|Obj_8|>, <|Obj_9|>, <|Obj_10|>), 7 "person" (<|Obj_11|>, <|Obj_12|>, <|Obj_13|>, <|Obj_14|>, <|Obj_15|>, <|Obj_16|>, <|Obj_17|>), 8 "bicycle" (<|Obj_18|>, <|Obj_19|>, <|Obj_20|>, <|Obj_21|>, <|Obj_22|>, <|Obj_23|>, <|Obj_24|>, <|Obj_25|>). | [
{
"patches": [
182,
205,
228
],
"bbox": [
0.9220625000000001,
0.4911241217798595,
0.9577968750000001,
0.6337470725995317
],
"iscrowd": 0,
"area": 901.7018500000004,
"rle": {
"size": [
427,
640
],
"counts": "^Xf73... | ovd |
144,941 | 000000144941.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"sink\", \"bird\", \"motorcycle\", \"sheep\", \"baseball bat\", \"refrigerator\", \"horse\", \"tennis racket\", \"toilet\", \"skis\", \"traffic light\", \"umbrella\", \"giraffe\", \"knife\", \"sandwich\", \"sur... | In this image, there are 1 "sink" (<|Obj_0|>), 1 "toilet" (<|Obj_1|>), 1 "potted plant" (<|Obj_2|>). | [
{
"patches": [
104,
105,
106,
107,
121,
122,
123,
124,
125,
139,
140,
141,
142,
143
],
"bbox": [
0.76066,
0.473622754491018,
0.99966,
0.6555688622754491
],
"iscrowd": 0,
"area": 5761.4... | ovd |
173,350 | 000000173350.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"toilet\", \"backpack\", \"cow\", \"fire hydrant\", \"toaster\", \"bowl\", \"sports ball\", \"oven\", \"apple\", \"spoon\", \"train\", \"dining table\", \"chair\", \"bicycle\", \"scissors\", \"tie\", \"toothbru... | In this image, there are 1 "toilet" (<|Obj_0|>), 2 "dog" (<|Obj_1|>, <|Obj_2|>). | [
{
"patches": [
4,
5,
6,
7,
8,
9,
10,
27,
28,
29,
30,
31,
32,
33,
49,
50,
51,
52,
53,
54,
55,
56,
72,
73,
74,
75,
76,
77,
78,
79,
... | ovd |
60,760 | 000000060760.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"toilet\", \"baseball bat\", \"toothbrush\", \"cow\", \"knife\", \"boat\", \"car\", \"mouse\", \"umbrella\", \"snowboard\", \"laptop\", \"scissors\", \"teddy bear\", \"train\", \"tennis racket\", \"motorcycle\"... | There is 1 "toilet" (<|Obj_0|>) in this image. | [
{
"patches": [
203,
204,
205,
206,
207,
216,
217,
218,
219,
220,
229,
230,
231,
232,
233
],
"bbox": [
0.6412,
0.82472,
1,
0.98876
],
"iscrowd": 0,
"area": 7547.765550000001,
... | ovd |
324,266 | 000000324266.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"carrot\", \"umbrella\", \"vase\", \"kite\", \"baseball bat\", \"bird\", \"cake\", \"remote\", \"mouse\", \"toilet\", \"bottle\", \"tv\", \"donut\", \"backpack\", \"tennis racket\", \"wine glass\", \"elephant\"... | In this image, there are 1 "toilet" (<|Obj_0|>), 1 "bottle" (<|Obj_1|>), 1 "sink" (<|Obj_2|>). | [
{
"patches": [
168,
169,
191,
192
],
"bbox": [
0.34021875000000007,
0.5012470588235295,
0.38178125,
0.5915764705882354
],
"iscrowd": 0,
"area": 718.49675,
"rle": {
"size": [
425,
640
],
"counts": "Ufj2`0h<`... | ovd |
166,532 | 000000166532.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"elephant\", \"remote\", \"dog\", \"baseball bat\", \"refrigerator\", \"skis\", \"surfboard\", \"hair drier\", \"frisbee\", \"skateboard\", \"mouse\", \"truck\", \"bird\", \"airplane\", \"apple\", \"knife\", \"... | There is 1 "sink" (<|Obj_0|>) in this image. | [
{
"patches": [
201,
202,
203,
204,
224,
225,
226,
227,
249,
250
],
"bbox": [
0.7384375000000002,
0.46627083333333336,
0.9118281250000001,
0.6228541666666667
],
"iscrowd": 0,
"area": 5362.532650000004,
"rl... | ovd |
262,284 | 000000262284.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"teddy bear\", \"motorcycle\", \"cake\", \"backpack\", \"cat\", \"frisbee\", \"carrot\", \"bicycle\", \"broccoli\", \"train\", \"book\", \"pizza\", \"tv\", \"snowboard\", \"bird\", \"bowl\", \"truck\", \"kite\"... | No objects from the list are present in the image. | [] | ovd |
360,772 | 000000360772.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"bird\", \"potted plant\", \"bear\", \"wine glass\", \"elephant\", \"fork\", \"sandwich\", \"kite\", \"laptop\", \"truck\", \"book\", \"bowl\", \"mouse\", \"suitcase\", \"cat\", \"giraffe\", \"couch\", \"cake\"... | There is 1 "toilet" (<|Obj_0|>) in this image. | [
{
"patches": [
164,
165,
180,
181,
182,
183,
197,
198,
199,
200,
213,
214,
215,
216,
217,
218,
230,
231,
232,
233,
234,
235,
247,
248,
249,
250,
251,
... | ovd |
191,381 | 000000191381.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"wine glass\", \"banana\", \"fork\", \"oven\", \"sandwich\", \"spoon\", \"broccoli\", \"dog\", \"potted plant\", \"motorcycle\", \"tie\", \"bus\", \"car\", \"fire hydrant\", \"refrigerator\", \"person\", \"scis... | There is 1 "toilet" (<|Obj_0|>) in this image. | [
{
"patches": [
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
31,
32,
33,
34,
35,
36,
37,
38,
39,
54,
55,
56,
57,
58,
59,
60,
61,
62,
77,
... | ovd |
111,076 | 000000111076.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"toilet\", \"sink\", \"tv\", \"toaster\", \"sandwich\", \"giraffe\", \"elephant\", \"couch\", \"person\", \"carrot\", \"bottle\", \"cell phone\", \"skateboard\", \"remote\", \"bench\", \"donut\", \"train\", \"l... | In this image, there are 1 "toilet" (<|Obj_0|>), 1 "sink" (<|Obj_1|>), 1 "person" (<|Obj_2|>), 1 "bottle" (<|Obj_3|>). | [
{
"patches": [
140,
141,
142,
163,
164,
165,
166,
186,
187,
188,
189,
210,
211,
212,
213,
214,
233,
234,
235,
236,
237,
256,
257,
258,
259,
260,
280,
... | ovd |
340,559 | 000000340559.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"sink\", \"donut\", \"bottle\", \"cell phone\", \"toothbrush\", \"surfboard\", \"dining table\", \"person\", \"bicycle\", \"horse\", \"orange\", \"vase\", \"pizza\", \"remote\", \"keyboard\", \"frisbee\", \"for... | There are 2 "sink" (<|Obj_0|>, <|Obj_1|>) in this image. | [
{
"patches": [
215,
216,
217,
218,
219,
230,
231,
232,
233,
234,
235,
246,
247
],
"bbox": [
0.348107476635514,
0.6289843750000002,
0.7037383177570095,
0.70840625
],
"iscrowd": 0,
"area": 444... | ovd |
258,985 | 000000258985.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"potted plant\", \"giraffe\", \"frisbee\", \"fork\", \"spoon\", \"bed\", \"snowboard\", \"oven\", \"fire hydrant\", \"bird\", \"toilet\", \"elephant\", \"kite\", \"bicycle\", \"clock\", \"car\", \"tennis racket... | In this image, there are 1 "potted plant" (<|Obj_0|>), 1 "toilet" (<|Obj_1|>). | [
{
"patches": [
336,
337,
338,
358,
359,
360,
361,
362,
381,
382,
383,
384,
385,
404,
405,
406,
407,
408,
428,
429,
430,
431
],
"bbox": [
0.5913437500000001,
0.6... | ovd |
509,822 | 000000509822.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"bicycle\", \"cow\", \"toothbrush\", \"orange\", \"truck\", \"wine glass\", \"mouse\", \"cup\", \"toaster\", \"toilet\", \"umbrella\", \"snowboard\", \"skateboard\", \"fire hydrant\", \"car\", \"kite\", \"handb... | There is 1 "bicycle" (<|Obj_0|>) in this image. | [
{
"patches": [
100,
101,
102,
122,
123,
124,
125,
127,
128,
129,
143,
144,
145,
146,
147,
148,
149,
150,
151,
152,
153,
154,
155,
165,
166,
167,
168,
... | ovd |
321,107 | 000000321107.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"tennis racket\", \"dining table\", \"car\", \"remote\", \"motorcycle\", \"cake\", \"stop sign\", \"vase\", \"scissors\", \"suitcase\", \"elephant\", \"surfboard\", \"carrot\", \"sheep\", \"tie\", \"toilet\", \... | In this image, there are 2 "car" (<|Obj_0|>, <|Obj_1|>), 1 "motorcycle" (<|Obj_2|>), 3 "person" (<|Obj_3|>, <|Obj_4|>, <|Obj_5|>), 1 "bicycle" (<|Obj_6|>), 1 "traffic light" (<|Obj_7|>), 1 "handbag" (<|Obj_8|>). | [
{
"patches": [
30,
31,
32,
33,
34,
41,
42,
43,
44
],
"bbox": [
0.08895910780669145,
0.1824375,
0.5065427509293681,
0.25733333333333336
],
"iscrowd": 0,
"area": 2347.8846999999996,
"rle": {
"size": [
... | ovd |
229,643 | 000000229643.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"bird\", \"orange\", \"keyboard\", \"airplane\", \"scissors\", \"boat\", \"sandwich\", \"mouse\", \"bowl\", \"apple\", \"couch\", \"car\", \"carrot\", \"oven\", \"cell phone\", \"chair\", \"spoon\", \"traffic l... | In this image, there are 1 "person" (<|Obj_0|>), 1 "sink" (<|Obj_1|>). | [
{
"patches": [
96,
97,
119,
120,
142,
143,
166,
189
],
"bbox": [
0.195546875,
0.2574375,
0.26253125000000005,
0.508625
],
"iscrowd": 0,
"area": 2847.15595,
"rle": {
"size": [
480,
640
],
... | ovd |
125,059 | 000000125059.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"tennis racket\", \"airplane\", \"kite\", \"stop sign\", \"apple\", \"wine glass\", \"carrot\", \"microwave\", \"sheep\", \"bear\", \"tv\", \"person\", \"toilet\", \"bottle\", \"toothbrush\", \"motorcycle\", \"... | In this image, there are 1 "toilet" (<|Obj_0|>), 1 "bottle" (<|Obj_1|>), 1 "sink" (<|Obj_2|>). | [
{
"patches": [
207,
208,
209,
210,
211,
222,
223,
224,
225,
226,
227,
228,
238,
239,
240,
241,
242,
243,
244,
245,
255,
256,
257,
258,
259,
260,
261,
... | ovd |
455,483 | 000000455483.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"cell phone\", \"person\", \"knife\", \"cat\", \"cup\", \"hair drier\", \"bed\", \"zebra\", \"spoon\", \"sink\", \"giraffe\", \"clock\", \"fork\", \"horse\", \"sheep\", \"surfboard\", \"sandwich\", \"keyboard\"... | In this image, there are 1 "person" (<|Obj_0|>), 2 "sink" (<|Obj_1|>, <|Obj_2|>), 1 "toilet" (<|Obj_3|>). | [
{
"patches": [
58,
80,
81,
82,
103,
104,
105,
127,
128
],
"bbox": [
0.510140625,
0.1475,
0.605484375,
0.31141666666666673
],
"iscrowd": 0,
"area": 2005.8004999999994,
"rle": {
"size": [
480,
... | ovd |
436,141 | 000000436141.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"tv\", \"sink\", \"suitcase\", \"handbag\", \"sheep\", \"teddy bear\", \"banana\", \"cell phone\", \"horse\", \"bed\", \"bear\", \"remote\", \"baseball bat\", \"wine glass\", \"sports ball\", \"cow\", \"cup\", ... | In this image, there are 1 "sink" (<|Obj_0|>), 1 "toilet" (<|Obj_1|>). | [
{
"patches": [
217,
218,
219,
220,
221,
236,
237,
238,
239,
240,
241,
242,
243,
244,
255,
256,
257,
258,
259,
260,
261,
262,
263,
264,
265,
266,
276,
... | ovd |
129,001 | 000000129001.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"microwave\", \"frisbee\", \"handbag\", \"couch\", \"bowl\", \"fire hydrant\", \"elephant\", \"boat\", \"bench\", \"mouse\", \"carrot\", \"cow\", \"skis\", \"person\", \"kite\", \"tennis racket\", \"sink\", \"s... | In this image, there are 1 "sink" (<|Obj_0|>), 2 "bottle" (<|Obj_1|>, <|Obj_2|>), 3 "toothbrush" (<|Obj_3|>, <|Obj_4|>, <|Obj_5|>), 1 "cup" (<|Obj_6|>). | [
{
"patches": [
239,
240,
255,
256,
257,
258,
259,
272,
273,
274,
275,
276,
289,
290,
291,
292,
306,
307
],
"bbox": [
0,
0.643671875,
0.26166666666666666,
0.7938437500000001... | ovd |
232,262 | 000000232262.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"tennis racket\", \"fork\", \"toothbrush\", \"suitcase\", \"bed\", \"microwave\", \"apple\", \"cake\", \"bus\", \"bottle\", \"bench\", \"mouse\", \"bicycle\", \"toaster\", \"zebra\", \"horse\", \"bowl\", \"snow... | In this image, there are 6 "truck" (<|Obj_0|>, <|Obj_1|>, <|Obj_2|>, <|Obj_3|>, <|Obj_4|>, <|Obj_5|>), 1 "traffic light" (<|Obj_6|>), 1 "motorcycle" (<|Obj_7|>), 13 "car" (<|Obj_8|>, <|Obj_9|>, <|Obj_10|>, <|Obj_11|>, <|Obj_12|>, <|Obj_13|>, <|Obj_14|>, <|Obj_15|>, <|Obj_16|>, <|Obj_17|>, <|Obj_18|>, <|Obj_19|>, <|Obj_20|>). | [
{
"patches": [
128,
129,
151,
152,
174,
175
],
"bbox": [
0.5630937500000001,
0.3450819672131147,
0.6505468750000001,
0.5066510538641685
],
"iscrowd": 0,
"area": 2833.172050000001,
"rle": {
"size": [
427,
64... | ovd |
61,181 | 000000061181.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"spoon\", \"skis\", \"handbag\", \"bicycle\", \"fork\", \"backpack\", \"sports ball\", \"cell phone\", \"person\", \"microwave\", \"bowl\", \"book\", \"broccoli\", \"donut\", \"pizza\", \"wine glass\", \"carrot... | In this image, there are 5 "person" (<|Obj_0|>, <|Obj_1|>, <|Obj_2|>, <|Obj_3|>, <|Obj_4|>), 13 "car" (<|Obj_5|>, <|Obj_6|>, <|Obj_7|>, <|Obj_8|>, <|Obj_9|>, <|Obj_10|>, <|Obj_11|>, <|Obj_12|>, <|Obj_13|>, <|Obj_14|>, <|Obj_15|>, <|Obj_16|>, <|Obj_17|>), 3 "bus" (<|Obj_18|>, <|Obj_19|>, <|Obj_20|>), 1 "motorcycle" (<|Obj_21|>), 5 "truck" (<|Obj_22|>, <|Obj_23|>, <|Obj_24|>, <|Obj_25|>, <|Obj_26|>), 7 "traffic light" (<|Obj_27|>, <|Obj_28|>, <|Obj_29|>, <|Obj_30|>, <|Obj_31|>, <|Obj_32|>, <|Obj_33|>). | [
{
"patches": [
105
],
"bbox": [
0.86602,
0.448816199376947,
0.88714,
0.5495015576323987
],
"iscrowd": 0,
"area": 197.46515000000025,
"rle": {
"size": [
321,
500
],
"counts": "^lW44i94N3N5F7jF]Ol8d0SG\\Om8d0RG]OR9`0lFAU9>kFBV... | ovd |
166,323 | 000000166323.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"bus\", \"tv\", \"teddy bear\", \"toaster\", \"sink\", \"toilet\", \"baseball bat\", \"zebra\", \"pizza\", \"couch\", \"donut\", \"surfboard\", \"cow\", \"car\", \"baseball glove\", \"microwave\", \"cup\", \"mo... | There is 1 "sink" (<|Obj_0|>) in this image. | [
{
"patches": [
63,
64,
65,
66,
67,
78,
79,
80,
81,
82,
83,
93,
94,
95,
96,
97,
108,
109,
110,
111,
112
],
"bbox": [
0.23870588235294118,
0.18253125,
0.548729411... | ovd |
580,041 | 000000580041.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"potted plant\", \"boat\", \"toaster\", \"frisbee\", \"bus\", \"vase\", \"book\", \"microwave\", \"bear\", \"knife\", \"couch\", \"cake\", \"person\", \"chair\", \"fire hydrant\", \"orange\", \"horse\", \"carro... | In this image, there are 2 "traffic light" (<|Obj_0|>, <|Obj_1|>), 8 "car" (<|Obj_2|>, <|Obj_3|>, <|Obj_4|>, <|Obj_5|>, <|Obj_6|>, <|Obj_7|>, <|Obj_8|>, <|Obj_9|>). | [
{
"patches": [
101,
102,
114,
115
],
"bbox": [
0.8279733333333333,
0.41842,
0.8736533333333334,
0.47626
],
"iscrowd": 0,
"area": 461.9267000000002,
"rle": {
"size": [
500,
375
],
"counts": "Zbg43`?i0XO1O000... | ovd |
326,781 | 000000326781.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"bear\", \"motorcycle\", \"couch\", \"apple\", \"wine glass\", \"spoon\", \"train\", \"hair drier\", \"dog\", \"refrigerator\", \"hot dog\", \"person\", \"zebra\", \"clock\", \"keyboard\", \"truck\", \"sink\", ... | In this image, there are 1 "sink" (<|Obj_0|>), 1 "toilet" (<|Obj_1|>). | [
{
"patches": [
223,
240,
241,
257
],
"bbox": [
0.11864583333333334,
0.599984375,
0.19877083333333334,
0.683859375
],
"iscrowd": 0,
"area": 1368.9578999999994,
"rle": {
"size": [
640,
480
],
"counts": "PPT1e... | ovd |
387,362 | 000000387362.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"person\", \"bottle\", \"sink\", \"elephant\", \"pizza\", \"microwave\", \"horse\", \"stop sign\", \"airplane\", \"scissors\", \"mouse\", \"orange\", \"kite\", \"tie\", \"umbrella\", \"toilet\", \"keyboard\", \... | In this image, there are 1 "person" (<|Obj_0|>), 1 "bottle" (<|Obj_1|>), 1 "sink" (<|Obj_2|>). | [
{
"patches": [
52,
53,
66,
67,
68,
81,
82,
83,
94,
95,
96,
97,
98,
99,
109,
110,
111,
112,
113,
114,
126,
127,
128,
129,
130,
143,
144
],
"bbo... | ovd |
138,079 | 000000138079.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"sink\", \"toilet\", \"car\", \"fire hydrant\", \"snowboard\", \"cup\", \"baseball glove\", \"dog\", \"refrigerator\", \"frisbee\", \"giraffe\", \"donut\", \"carrot\", \"hair drier\", \"train\", \"orange\", \"b... | In this image, there are 1 "sink" (<|Obj_0|>), 1 "toilet" (<|Obj_1|>). | [
{
"patches": [
268,
269,
270,
271,
285,
286,
287,
288,
303,
304,
305,
321,
322,
339,
356
],
"bbox": [
0.7747708333333333,
0.679046875,
1,
0.8840156250000001
],
"iscrowd": 0,
"are... | ovd |
556,616 | 000000556616.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"clock\", \"fire hydrant\", \"carrot\", \"baseball bat\", \"person\", \"vase\", \"bus\", \"fork\", \"horse\", \"spoon\", \"dog\", \"tv\", \"orange\", \"car\", \"tennis racket\", \"bench\", \"cell phone\", \"win... | In this image, there are 4 "car" (<|Obj_0|>, <|Obj_1|>, <|Obj_2|>, <|Obj_3|>), 4 "parking meter" (<|Obj_4|>, <|Obj_5|>, <|Obj_6|>, <|Obj_7|>). | [
{
"patches": [
44,
45,
65,
66,
67,
68,
87,
88,
89,
90,
91,
110,
111,
112,
113,
114,
133,
134,
135,
136,
137,
155,
156,
157,
158,
159,
160,
178,
... | ovd |
472,621 | 000000472621.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"clock\", \"bottle\", \"sink\", \"fire hydrant\", \"vase\", \"toilet\", \"potted plant\", \"scissors\", \"refrigerator\", \"remote\", \"banana\", \"cake\", \"oven\", \"elephant\", \"orange\", \"giraffe\", \"she... | In this image, there are 1 "clock" (<|Obj_0|>), 2 "bottle" (<|Obj_1|>, <|Obj_2|>), 1 "sink" (<|Obj_3|>), 1 "vase" (<|Obj_4|>), 4 "book" (<|Obj_5|>, <|Obj_6|>, <|Obj_7|>, <|Obj_8|>), 1 "bowl" (<|Obj_9|>). | [
{
"patches": [
136,
137
],
"bbox": [
0.9332812500000001,
0.48959731543624163,
0.970578125,
0.5409060402684563
],
"iscrowd": 0,
"area": 278.4985500000003,
"rle": {
"size": [
298,
640
],
"counts": "bU^57R92O1N2O00001N100... | ovd |
192,440 | 000000192440.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"couch\", \"cell phone\", \"wine glass\", \"toothbrush\", \"elephant\", \"skateboard\", \"toilet\", \"broccoli\", \"spoon\", \"orange\", \"tv\", \"pizza\", \"book\", \"truck\", \"sports ball\", \"horse\", \"air... | In this image, there are 3 "toothbrush" (<|Obj_0|>, <|Obj_1|>, <|Obj_2|>), 1 "toilet" (<|Obj_3|>), 6 "bottle" (<|Obj_4|>, <|Obj_5|>, <|Obj_6|>, <|Obj_7|>, <|Obj_8|>, <|Obj_9|>), 1 "sink" (<|Obj_10|>). | [
{
"patches": [
18,
41
],
"bbox": [
0.8117343750000001,
0.047370892018779344,
0.8230156250000001,
0.11023474178403757
],
"iscrowd": 0,
"area": 106.98255000000017,
"rle": {
"size": [
426,
640
],
"counts": "W[h68>IT<:hCHV... | ovd |
86,320 | 000000086320.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"sports ball\", \"laptop\", \"traffic light\", \"horse\", \"knife\", \"toothbrush\", \"tennis racket\", \"skis\", \"cell phone\", \"teddy bear\", \"skateboard\", \"pizza\", \"cat\", \"hair drier\", \"motorcycle... | There is 1 "sink" (<|Obj_0|>) in this image. | [
{
"patches": [
173,
174,
175,
176,
191,
192,
193,
194
],
"bbox": [
0.61612,
0.752797619047619,
0.7928,
0.8943749999999999
],
"iscrowd": 0,
"area": 3202.761,
"rle": {
"size": [
336,
500
],
... | ovd |
256,668 | 000000256668.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"toilet\", \"clock\", \"apple\", \"umbrella\", \"snowboard\", \"fire hydrant\", \"sink\", \"keyboard\", \"carrot\", \"dog\", \"remote\", \"parking meter\", \"couch\", \"spoon\", \"airplane\", \"sandwich\", \"ho... | There is 1 "toilet" (<|Obj_0|>) in this image. | [
{
"patches": [
75,
80,
81,
82,
83,
84,
85,
86,
87,
88,
93,
94,
95,
96,
97,
98,
99,
100,
101,
106,
107,
108,
109,
110,
111,
112,
113,
114,
... | ovd |
383,445 | 000000383445.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"car\", \"donut\", \"dog\", \"vase\", \"cat\", \"orange\", \"snowboard\", \"bottle\", \"elephant\", \"parking meter\", \"bed\", \"hair drier\", \"stop sign\", \"wine glass\", \"chair\", \"hot dog\", \"fire hydr... | In this image, there are 1 "car" (<|Obj_0|>), 1 "donut" (<|Obj_1|>). | [
{
"patches": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
3... | ovd |
565,797 | 000000565797.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"backpack\", \"umbrella\", \"clock\", \"zebra\", \"kite\", \"surfboard\", \"bed\", \"giraffe\", \"hot dog\", \"bowl\", \"stop sign\", \"cake\", \"bench\", \"toilet\", \"airplane\", \"train\", \"truck\", \"cat\"... | In this image, there are 1 "cat" (<|Obj_0|>), 1 "car" (<|Obj_1|>). | [
{
"patches": [
54,
55,
56,
73,
74,
75,
76,
77,
78,
79,
80,
81,
82,
83,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
120,
121,
1... | ovd |
81,922 | 000000081922.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"dining table\", \"suitcase\", \"motorcycle\", \"sandwich\", \"tie\", \"hair drier\", \"stop sign\", \"fork\", \"teddy bear\", \"baseball bat\", \"clock\", \"spoon\", \"carrot\", \"broccoli\", \"microwave\", \"... | In this image, there are 1 "airplane" (<|Obj_0|>), 9 "car" (<|Obj_1|>, <|Obj_2|>, <|Obj_3|>, <|Obj_4|>, <|Obj_5|>, <|Obj_6|>, <|Obj_7|>, <|Obj_8|>, <|Obj_9|>). | [
{
"patches": [
146,
169,
170,
171,
172,
173,
174
],
"bbox": [
0.34073437500000003,
0.43032863849765257,
0.5890625,
0.5404225352112676
],
"iscrowd": 0,
"area": 2586.79225,
"rle": {
"size": [
426,
640
... | ovd |
50,125 | 000000050125.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"bus\", \"car\", \"truck\", \"toothbrush\", \"scissors\", \"cake\", \"zebra\", \"parking meter\", \"bicycle\", \"train\", \"motorcycle\", \"kite\", \"couch\", \"oven\", \"person\", \"orange\", \"backpack\", \"d... | In this image, there are 2 "bus" (<|Obj_0|>, <|Obj_1|>), 4 "car" (<|Obj_2|>, <|Obj_3|>, <|Obj_4|>, <|Obj_5|>), 2 "truck" (<|Obj_6|>, <|Obj_7|>). | [
{
"patches": [
79,
96,
97,
98,
99,
100,
101,
102,
103,
104,
105,
106,
107,
118,
119,
120,
121,
122,
123,
124,
125,
126,
127,
128,
129,
130,
141,
... | ovd |
364,521 | 000000364521.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"person\", \"refrigerator\", \"tv\", \"dog\", \"frisbee\", \"train\", \"hair drier\", \"stop sign\", \"bear\", \"potted plant\", \"chair\", \"baseball bat\", \"broccoli\", \"dining table\", \"backpack\", \"bott... | There are 2 "toilet" (<|Obj_0|>, <|Obj_1|>) in this image. | [
{
"patches": [
72,
73,
74,
75,
76,
77,
94,
95,
96,
97,
98,
99,
100,
101,
102,
117,
118,
119,
120,
121,
122,
123,
124,
125,
129,
130,
140,
141,
... | ovd |
394,892 | 000000394892.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"suitcase\", \"cat\", \"bear\", \"scissors\", \"oven\", \"sink\", \"keyboard\", \"kite\", \"elephant\", \"orange\", \"snowboard\", \"car\", \"skateboard\", \"bird\", \"boat\", \"banana\", \"tennis racket\", \"d... | In this image, there are 3 "car" (<|Obj_0|>, <|Obj_1|>, <|Obj_2|>), 1 "skateboard" (<|Obj_3|>), 2 "person" (<|Obj_4|>, <|Obj_5|>). | [
{
"patches": [
92,
93,
94,
95,
96,
97,
98,
115,
116,
117,
118,
119,
120,
121,
122,
123,
138,
139,
140,
141,
142,
143,
144,
145,
146,
149,
150,
1... | ovd |
1,146 | 000000001146.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"clock\", \"tie\", \"boat\", \"dog\", \"carrot\", \"spoon\", \"fire hydrant\", \"backpack\", \"donut\", \"broccoli\", \"tennis racket\", \"skis\", \"book\", \"giraffe\", \"hot dog\", \"frisbee\", \"cat\", \"bed... | In this image, there are 1 "tie" (<|Obj_0|>), 1 "person" (<|Obj_1|>). | [
{
"patches": [
140,
155,
169,
170,
171,
184,
185,
186,
199,
200,
201,
214,
215,
216,
229,
230,
231,
244,
245,
246,
259,
260,
261,
274,
275,
276,
289,
... | ovd |
310,391 | 000000310391.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"baseball bat\", \"knife\", \"carrot\", \"motorcycle\", \"cake\", \"elephant\", \"sheep\", \"cat\", \"couch\", \"clock\", \"refrigerator\", \"chair\", \"bear\", \"skis\", \"sports ball\", \"snowboard\", \"pizza... | In this image, there are 2 "car" (<|Obj_0|>, <|Obj_1|>), 5 "person" (<|Obj_2|>, <|Obj_3|>, <|Obj_4|>, <|Obj_5|>, <|Obj_6|>), 1 "surfboard" (<|Obj_7|>). | [
{
"patches": [
77,
78,
79,
80,
81,
82,
83,
86,
87,
101,
102,
103,
104,
105,
106,
107,
108,
109,
110,
111,
123,
124,
125,
126,
127,
128,
129,
130... | ovd |
97,434 | 000000097434.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"truck\", \"motorcycle\", \"airplane\", \"skis\", \"couch\", \"frisbee\", \"remote\", \"book\", \"donut\", \"cell phone\", \"teddy bear\", \"elephant\", \"bench\", \"backpack\", \"clock\", \"traffic light\", \"... | In this image, there are 1 "truck" (<|Obj_0|>), 1 "motorcycle" (<|Obj_1|>), 5 "car" (<|Obj_2|>, <|Obj_3|>, <|Obj_4|>, <|Obj_5|>, <|Obj_6|>), 2 "person" (<|Obj_7|>, <|Obj_8|>). | [
{
"patches": [
39,
40,
41,
42,
43,
60,
61,
62,
63,
64,
65,
66,
83,
84,
85,
86,
87,
88,
89
],
"bbox": [
0.6089375000000001,
0.1418796992481203,
0.8873437500000002,
0.3... | ovd |
463,836 | 000000463836.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"person\", \"backpack\", \"clock\", \"toothbrush\", \"apple\", \"cake\", \"microwave\", \"bear\", \"umbrella\", \"cup\", \"surfboard\", \"spoon\", \"mouse\", \"train\", \"traffic light\", \"sports ball\", \"piz... | In this image, there are 1 "person" (<|Obj_0|>), 1 "backpack" (<|Obj_1|>), 2 "toilet" (<|Obj_2|>, <|Obj_3|>). | [
{
"patches": [
77,
78,
79,
99,
100,
101,
102,
122,
123,
124,
125,
145,
146,
147,
148,
169,
170,
171,
191,
192,
193,
194,
214,
215,
216,
217,
237,
... | ovd |
241,876 | 000000241876.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"cat\", \"umbrella\", \"sheep\", \"tennis racket\", \"motorcycle\", \"donut\", \"bed\", \"cup\", \"wine glass\", \"toaster\", \"cow\", \"tie\", \"hot dog\", \"bicycle\", \"potted plant\", \"hair drier\", \"bana... | In this image, there are 1 "cat" (<|Obj_0|>), 1 "toilet" (<|Obj_1|>). | [
{
"patches": [
8,
9,
10,
11,
12,
26,
27,
28,
29,
30,
41,
42,
43,
44,
45,
46,
47,
57,
58,
59,
60,
61,
62,
63,
64,
65,
74,
75,
76,
77,... | ovd |
156,832 | 000000156832.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"hair drier\", \"mouse\", \"dog\", \"oven\", \"zebra\", \"fork\", \"airplane\", \"keyboard\", \"fire hydrant\", \"train\", \"book\", \"skis\", \"sheep\", \"donut\", \"sandwich\", \"wine glass\", \"toilet\", \"b... | In this image, there are 1 "toilet" (<|Obj_0|>), 1 "sink" (<|Obj_1|>). | [
{
"patches": [
179,
180,
181,
196,
197,
198,
213,
214,
215,
230,
231,
232,
247,
248,
249,
250,
264,
265,
266,
267,
282,
283,
299,
300
],
"bbox": [
0.52981... | ovd |
270,721 | 000000270721.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"toilet\", \"couch\", \"bird\", \"baseball bat\", \"bicycle\", \"truck\", \"motorcycle\", \"donut\", \"teddy bear\", \"bus\", \"potted plant\", \"oven\", \"bear\", \"knife\", \"surfboard\", \"skateboard\", \"bo... | In this image, there are 1 "toilet" (<|Obj_0|>), 1 "sink" (<|Obj_1|>). | [
{
"patches": [
92,
93,
94,
95,
115,
116,
117,
118,
138,
139,
140,
141,
161,
162,
163,
164,
184,
185,
186,
187,
188,
207,
208,
209,
210,
211,
230,
... | ovd |
462,341 | 000000462341.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"horse\", \"suitcase\", \"bench\", \"toilet\", \"traffic light\", \"hot dog\", \"clock\", \"sheep\", \"motorcycle\", \"scissors\", \"teddy bear\", \"banana\", \"carrot\", \"boat\", \"elephant\", \"bowl\", \"gir... | In this image, there are 1 "clock" (<|Obj_0|>), 1 "bird" (<|Obj_1|>). | [
{
"patches": [
218,
219,
233,
234
],
"bbox": [
0.5300468384074942,
0.618875,
0.6230444964871196,
0.681265625
],
"iscrowd": 0,
"area": 1223.8005500000004,
"rle": {
"size": [
640,
427
],
"counts": "Qe]41hc0;I... | ovd |
310,103 | 000000310103.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"motorcycle\", \"remote\", \"oven\", \"suitcase\", \"boat\", \"person\", \"truck\", \"microwave\", \"bear\", \"umbrella\", \"backpack\", \"potted plant\", \"hair drier\", \"skis\", \"baseball bat\", \"parking m... | There are 2 "motorcycle" (<|Obj_0|>, <|Obj_1|>) in this image. | [
{
"patches": [
5,
6,
7,
8,
9,
10,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
51,
52,
53,
54,
55,
56,
57,
58,
59,
60,
61,
73,
74,
... | ovd |
32,992 | 000000032992.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"backpack\", \"truck\", \"potted plant\", \"vase\", \"dining table\", \"scissors\", \"bottle\", \"fork\", \"kite\", \"umbrella\", \"suitcase\", \"baseball glove\", \"frisbee\", \"parking meter\", \"teddy bear\"... | There is 1 "vase" (<|Obj_0|>) in this image. | [
{
"patches": [
12,
13,
14,
15,
25,
26,
27,
28,
29,
33,
34,
35,
36,
37,
38,
39,
40,
46,
47,
48,
49,
50,
51,
52,
53,
54,
55,
56,
57,
5... | ovd |
122,851 | 000000122851.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"motorcycle\", \"person\", \"bicycle\", \"umbrella\", \"cup\", \"tie\", \"sandwich\", \"toothbrush\", \"parking meter\", \"toaster\", \"wine glass\", \"toilet\", \"oven\", \"refrigerator\", \"tv\", \"bowl\", \"... | In this image, there are 1 "motorcycle" (<|Obj_0|>), 3 "person" (<|Obj_1|>, <|Obj_2|>, <|Obj_3|>), 9 "banana" (<|Obj_4|>, <|Obj_5|>, <|Obj_6|>, <|Obj_7|>, <|Obj_8|>, <|Obj_9|>, <|Obj_10|>, <|Obj_11|>, <|Obj_12|>), 1 "truck" (<|Obj_13|>). | [
{
"patches": [
131,
153,
154,
175,
176,
177,
178,
179,
180,
198,
199,
200,
201,
202,
203
],
"bbox": [
0.6471875,
0.38182669789227164,
0.8596562499999999,
0.57
],
"iscrowd": 0,
"a... | ovd |
540,763 | 000000540763.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"bottle\", \"broccoli\", \"bear\", \"fork\", \"apple\", \"bowl\", \"toothbrush\", \"banana\", \"bench\", \"horse\", \"refrigerator\", \"frisbee\", \"orange\", \"hair drier\", \"fire hydrant\", \"toaster\", \"sc... | In this image, there are 1 "bottle" (<|Obj_0|>), 1 "toilet" (<|Obj_1|>), 1 "vase" (<|Obj_2|>). | [
{
"patches": [
117,
131,
132,
146,
147,
161,
162
],
"bbox": [
0.7868705882352941,
0.31428125,
0.8695058823529412,
0.44568750000000007
],
"iscrowd": 0,
"area": 2120.44525,
"rle": {
"size": [
640,
425
... | ovd |
138,246 | 000000138246.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"couch\", \"sink\", \"traffic light\", \"tennis racket\", \"bicycle\", \"dining table\", \"tv\", \"pizza\", \"sports ball\", \"backpack\", \"horse\", \"scissors\", \"toilet\", \"parking meter\", \"spoon\", \"sk... | There are 3 "horse" (<|Obj_0|>, <|Obj_1|>, <|Obj_2|>) in this image. | [
{
"patches": [
289,
312,
313,
335,
336
],
"bbox": [
0.5807656250000001,
0.8439150943396226,
0.625140625,
0.9509198113207546
],
"iscrowd": 0,
"area": 828.1886999999998,
"rle": {
"size": [
424,
640
],
"... | ovd |
197,254 | 000000197254.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"bench\", \"stop sign\", \"baseball bat\", \"apple\", \"horse\", \"laptop\", \"umbrella\", \"broccoli\", \"train\", \"sandwich\", \"bird\", \"mouse\", \"cat\", \"couch\", \"tv\", \"chair\", \"backpack\", \"dog\... | In this image, there are 2 "horse" (<|Obj_0|>, <|Obj_1|>), 13 "person" (<|Obj_2|>, <|Obj_3|>, <|Obj_4|>, <|Obj_5|>, <|Obj_6|>, <|Obj_7|>, <|Obj_8|>, <|Obj_9|>, <|Obj_10|>, <|Obj_11|>, <|Obj_12|>, <|Obj_13|>, <|Obj_14|>). | [
{
"patches": [
214,
215,
228,
229,
230,
231,
232,
233,
243,
244,
245,
246,
247,
248,
260,
261,
262,
263,
275,
276,
277,
278,
290,
291,
292,
293,
305,
... | ovd |
32,907 | 000000032907.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"laptop\", \"dog\", \"tv\", \"sandwich\", \"toaster\", \"stop sign\", \"boat\", \"suitcase\", \"horse\", \"airplane\", \"donut\", \"hot dog\", \"baseball glove\", \"bus\", \"spoon\", \"couch\", \"snowboard\", \... | In this image, there are 3 "potted plant" (<|Obj_0|>, <|Obj_1|>, <|Obj_2|>), 1 "toilet" (<|Obj_3|>), 2 "car" (<|Obj_4|>, <|Obj_5|>). | [
{
"patches": [
46,
47,
48,
69,
70,
71,
92,
93
],
"bbox": [
0.00003125,
0.12072916666666667,
0.11387499999999999,
0.2700000000000001
],
"iscrowd": 0,
"area": 3692.6644499999993,
"rle": {
"size": [
480,
... | ovd |
251,252 | 000000251252.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"refrigerator\", \"tie\", \"zebra\", \"skateboard\", \"suitcase\", \"keyboard\", \"kite\", \"laptop\", \"horse\", \"bottle\", \"surfboard\", \"broccoli\", \"pizza\", \"fire hydrant\", \"cake\", \"fork\", \"tedd... | In this image, there are 9 "person" (<|Obj_0|>, <|Obj_1|>, <|Obj_2|>, <|Obj_3|>, <|Obj_4|>, <|Obj_5|>, <|Obj_6|>, <|Obj_7|>, <|Obj_8|>), 1 "motorcycle" (<|Obj_9|>). | [
{
"patches": [
33,
46
],
"bbox": [
0.5431466666666667,
0.142,
0.61328,
0.2175
],
"iscrowd": 0,
"area": 427.1427499999999,
"rle": {
"size": [
500,
375
],
"counts": "SfS31c?1N2N101N3E:02M3M2N35KM2N2N0003N1N3M2N3M2N3M2N3M... | ovd |
37,675 | 000000037675.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"scissors\", \"donut\", \"spoon\", \"zebra\", \"hair drier\", \"tennis racket\", \"toilet\", \"sports ball\", \"teddy bear\", \"fork\", \"cup\", \"backpack\", \"dining table\", \"hot dog\", \"parking meter\", \... | There are 2 "horse" (<|Obj_0|>, <|Obj_1|>) in this image. | [
{
"patches": [
165,
166,
187,
188,
189,
190,
210,
211,
212,
213,
233,
234,
235,
236,
256,
257,
258,
259,
279,
280,
281,
302,
303,
304
],
"bbox": [
0.13246... | ovd |
159,537 | 000000159537.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"skis\", \"parking meter\", \"fork\", \"suitcase\", \"keyboard\", \"broccoli\", \"sports ball\", \"giraffe\", \"cup\", \"bear\", \"bowl\", \"boat\", \"apple\", \"person\", \"couch\", \"elephant\", \"sink\", \"m... | There is 1 "clock" (<|Obj_0|>) in this image. | [
{
"patches": [
262,
263,
277,
278
],
"bbox": [
0.48240000000000005,
0.757515625,
0.5879764705882353,
0.8172968750000001
],
"iscrowd": 0,
"area": 1377.92125,
"rle": {
"size": [
640,
425
],
"counts": "fcP46fc... | ovd |
268,556 | 000000268556.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"kite\", \"airplane\", \"spoon\", \"fork\", \"skis\", \"traffic light\", \"carrot\", \"cup\", \"apple\", \"parking meter\", \"motorcycle\", \"teddy bear\", \"bear\", \"car\", \"surfboard\", \"bowl\", \"bicycle\... | In this image, there are 1 "motorcycle" (<|Obj_0|>), 1 "car" (<|Obj_1|>), 1 "handbag" (<|Obj_2|>), 2 "person" (<|Obj_3|>, <|Obj_4|>). | [
{
"patches": [
245,
265,
266,
267,
268,
269,
287,
288,
289,
290,
291,
292,
304,
305,
309,
310,
311,
312,
313,
314,
315,
316,
317,
325,
326,
327,
328,
... | ovd |
271,177 | 000000271177.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"orange\", \"skateboard\", \"book\", \"microwave\", \"bed\", \"truck\", \"cow\", \"potted plant\", \"cup\", \"airplane\", \"zebra\", \"dog\", \"sandwich\", \"skis\", \"elephant\", \"clock\", \"parking meter\", ... | In this image, there are 3 "person" (<|Obj_0|>, <|Obj_1|>, <|Obj_2|>), 1 "motorcycle" (<|Obj_3|>), 1 "handbag" (<|Obj_4|>). | [
{
"patches": [
65,
78,
91
],
"bbox": [
0,
0.27588,
0.052879999999999996,
0.40946000000000005
],
"iscrowd": 0,
"area": 719.9769000000001,
"rle": {
"size": [
500,
375
],
"counts": "d4g1l=0J60ZOnBkNR=V1oBmNm<R1aBB^=... | ovd |
75,051 | 000000075051.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"couch\", \"bench\", \"oven\", \"pizza\", \"tie\", \"parking meter\", \"skateboard\", \"stop sign\", \"book\", \"toilet\", \"potted plant\", \"train\", \"vase\", \"microwave\", \"wine glass\", \"mouse\", \"cloc... | There is 1 "toilet" (<|Obj_0|>) in this image. | [
{
"patches": [
8,
9,
10,
25,
26,
27,
28,
29,
30,
31,
43,
44,
45,
46,
47,
48,
49,
50,
51,
61,
62,
63,
64,
65,
66,
67,
68,
69,
78,
79,... | ovd |
549,399 | 000000549399.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"clock\", \"cake\", \"toaster\", \"sink\", \"remote\", \"bear\", \"umbrella\", \"wine glass\", \"suitcase\", \"skis\", \"cell phone\", \"toothbrush\", \"boat\", \"stop sign\", \"fire hydrant\", \"horse\", \"han... | There is 1 "motorcycle" (<|Obj_0|>) in this image. | [
{
"patches": [
62,
63,
84,
85,
86,
106,
107,
108,
127,
128,
129,
130,
131,
132,
149,
150,
151,
152,
153,
154,
155,
164,
165,
166,
167,
168,
170,
... | ovd |
85,160 | 000000085160.jpg | [
{
"from": "human",
"value": "Please carefully check the image and detect the following objects: [\"keyboard\", \"mouse\", \"tv\", \"person\", \"dog\", \"frisbee\", \"refrigerator\", \"clock\", \"tie\", \"parking meter\", \"teddy bear\", \"traffic light\", \"surfboard\", \"bowl\", \"toilet\", \"bicycle\", \"... | In this image, there are 2 "keyboard" (<|Obj_0|>, <|Obj_1|>), 1 "mouse" (<|Obj_2|>), 3 "tv" (<|Obj_3|>, <|Obj_4|>, <|Obj_5|>), 4 "person" (<|Obj_6|>, <|Obj_7|>, <|Obj_8|>, <|Obj_9|>), 1 "remote" (<|Obj_10|>), 3 "chair" (<|Obj_11|>, <|Obj_12|>, <|Obj_13|>), 1 "laptop" (<|Obj_14|>). | [
{
"patches": [
193,
194,
216,
217,
239,
240
],
"bbox": [
0.393953125,
0.5348235294117648,
0.468578125,
0.6898823529411766
],
"iscrowd": 0,
"area": 2626.8110999999985,
"rle": {
"size": [
425,
640
],
... | ovd |
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