Improve model card with detailed information from paper and GitHub README
#1
by
nielsr
HF Staff
- opened
This PR significantly enhances the model card for RecNeXt-A1 by integrating a wealth of information from its associated paper and the GitHub repository's README.
Key additions include:
- The full paper abstract for better context.
- A "Recent Updates" section to track development.
- Detailed "Latency Measurement" with illustrative images.
- Comprehensive "ImageNet (Training and Evaluation)" instructions covering data preparation, training, testing, fused model evaluation, and model publishing, greatly improving reproducibility.
- Performance metrics and relevant links for "Downstream Tasks" such as Object Detection and Semantic Segmentation.
- An "Ablation Study" section, providing insights into the model's design choices and variants.
- A dedicated "Limitations" section for transparency.
- An "Acknowledgement" section to credit related work.
These improvements provide a much more complete and useful resource for researchers and users interested in RecNeXt-A1.
suous
changed pull request status to
merged
Thank you for helping me fix my mistakes and improve the README content.
I will carefully review the details on GitHub later and update the model cards accordingly.
Thanks again.