Update model card for ObjEmbed
#1
by
nielsr
HF Staff
- opened
This PR completely overhauls the model card for the ObjEmbed model, as presented in the paper ObjEmbed: Towards Universal Multimodal Object Embeddings.
The previous model card incorrectly referenced "WeDetect" and contained outdated information.
Key updates include:
- Metadata:
- Corrected
licensetoapache-2.0based on the official GitHub repository. - Updated
pipeline_tagtoobject-detectionto better reflect the model's capabilities in visual grounding and object understanding. - Added
library_name: transformersas the model uses thetransformerslibrary, as evidenced by its installation instructions.
- Corrected
- Content:
- Replaced all "WeDetect" content with a summary of ObjEmbed, its key features (Object-Oriented Representation, Versatility, Efficient Encoding) from the paper abstract and GitHub README.
- Added direct links to the paper and the official GitHub repository.
- Included sample usage instructions for Referring Expression Comprehension (REC) and Image Retrieval, directly from the GitHub README.
- Added the correct BibTeX citation.