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mcity-data-engine
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fisheye8k_facebook_deformable-detr-detic

Zero-Shot Object Detection
Transformers
PyTorch
TensorBoard
deformable_detr
object-detection
Generated from Trainer
zero-shot
Model card Files
xet
 Metrics Community
4

Improve model card with pipeline tag, links, sample usage, and expanded details

#3
by nielsr HF Staff - opened
base: refs/heads/main
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from: refs/pr/3
Discussion Files changed
+113
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nielsr

This PR significantly enhances the model card by:

  • Adding the pipeline_tag: zero-shot-object-detection and additional object-detection, zero-shot tags to improve discoverability on the Hugging Face Hub.
  • Including direct links to the associated paper (Hugging Face Papers), the project page (https://mcity.github.io/mcity_data_engine/), and the GitHub repository (https://github.com/mcity/mcity_data_engine).
  • Providing a practical Python code snippet for inference, demonstrating how to use the model for zero-shot object detection.
  • Expanding the "Model description", "Intended uses & limitations", and "Training and evaluation data" sections with details from the paper's abstract and the GitHub README for better understanding of the model's purpose and application within the Mcity Data Engine.
  • Incorporating "Acknowledgements" and "Citation" information from the GitHub repository.
  • Removing the auto-generated comment.
Improve model card with pipeline tag, links, sample usage, and expanded details7e832667
danielbogdoll changed pull request status to merged

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