Improve model card: Add pipeline tag, license, and comprehensive details
#3
by
nielsr
HF Staff
- opened
This PR significantly enhances the model card for fisheye8k_jozhang97_deta-swin-large-o365 by:
- Adding the
pipeline_tag: object-detectionto the metadata, which ensures the model appears in relevant searches on the Hugging Face Hub (e.g., https://huggingface.co/models?pipeline_tag=object-detection). - Adding the explicit
license: mitas stated in the project's GitHub repository. - Including more descriptive tags like
deta,swin,traffic,automotive,ITS, andcomputer-vision. - Providing direct links to the associated paper (Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection), the project's documentation (Mcity Data Engine Docs), and the GitHub repository (mcity/mcity_data_engine).
- Expanding the "Model description" and "Intended uses & limitations" sections with details from the paper's abstract and the GitHub README.
- Clarifying the "Training and evaluation data" section with a direct link to the dataset on the Hub.
- Adding a practical Python code snippet for inference using the
transformerslibrary, making the model easier to use.
These updates greatly improve the model's documentation, usability, and discoverability on the Hugging Face Hub.
danielbogdoll
changed pull request status to
merged