tensorflow / tensorflow/models
Verify evals on Papers with Code
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Description
Hi,
Niels here from the open-source team at Hugging Face. Congratulations on your work!
I've made the paper and 2 paper-native evaluations available on Papers with Code.
The paper has results on Image Classification and Object Detection task pages.
Would it be possible to verify these results and let me know if any score, model name, benchmark protocol, or openness metadata should be corrected? The imported rows are tied to the paper or its official release artifacts; comparison-table baselines were not added.
You can also edit the task, methods, project page, and GitHub URL directly from the paper page using your Hugging Face account.
Kind regards,
Niels
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Open the linked paper and its Image Classification and Object Detection task pages; compare the imported scores, model names, benchmark protocols, and openness metadata with the paper and its official release artifacts. Done means confirming the rows or reporting concrete corrections for Papers with Code.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- huggingface
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 1/5
- Estimated time
- Under an hour
- Activity status
- Active
- Clarity
- Clearly specified
- Newbie friendliness
- 72/100