feat: Enhance model card for RecNeXt-M4 with abstract, downstream tasks, limitations, and acknowledgements
#1
by
nielsr
HF Staff
- opened
Hello team,
I've reviewed the model card for recnext_m4
and identified several opportunities for improvement, drawing from the paper abstract and the comprehensive GitHub README.
This pull request addresses the following:
- Added the paper abstract: Providing a quick overview of the model's core contributions and approach.
- Updated arXiv ID in badge: Corrected the arXiv ID in the header badge for consistency with the paper link and provided information.
- Included Downstream Tasks: Added performance metrics and links for Object Detection/Instance Segmentation and Semantic Segmentation, showcasing the model's broader applicability.
- Detailed Limitations: Incorporated a crucial section outlining the model's known limitations, which helps users understand its constraints and make informed decisions.
- Added Acknowledgements: Included the acknowledgements section from the original repository, giving credit to the underlying code bases.
These changes significantly enhance the model card's completeness and utility for the community.
suous
changed pull request status to
merged