Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

abhash-rai
/
traffic-congestion-classifier

Image Classification
Keras
English
Model card Files Files and versions
xet
Community

Instructions to use abhash-rai/traffic-congestion-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Keras

    How to use abhash-rai/traffic-congestion-classifier with Keras:

    # Available backend options are: "jax", "torch", "tensorflow".
    import os
    os.environ["KERAS_BACKEND"] = "jax"
    
    import keras
    
    model = keras.saving.load_model("hf://abhash-rai/traffic-congestion-classifier")
    
  • Notebooks
  • Google Colab
  • Kaggle
traffic-congestion-classifier
685 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
abhash-rai's picture
abhash-rai
Update README.md
3c2b0cb almost 3 years ago
  • .gitattributes
    1.7 kB
    Uploaded video datasets used to train the model almost 3 years ago
  • README.md
    880 Bytes
    Update README.md almost 3 years ago
  • traffic_congested.mp4
    28.7 MB
    xet
    Uploaded video datasets used to train the model almost 3 years ago
  • traffic_congestion_classifier.h5
    609 MB
    xet
    Upload traffic_congestion_classifier.h5 almost 3 years ago
  • traffic_not_congested.mp4
    26.8 MB
    xet
    Uploaded video datasets used to train the model almost 3 years ago
  • traffic_unrelated.mp4
    21.1 MB
    xet
    Uploaded video datasets used to train the model almost 3 years ago