code: def expected_coco_output():
      return [
          " Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.501",
          " Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 1.000",
          " Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.252",
          " Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000",
          " Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.300",
          " Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.703",
          " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.500",
          " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.500",
          " Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.500",
          " Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000",
          " Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.300",
          " Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.700",
      ]
  
imports: import pytest
  from icevision.all import *
label_desc: Use image node_id 1 for calling a global function with example usage: expected_coco_output() and returns: list