LAION-AI / LAION-AI/CLIP_benchmark
Update babel image net
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 814
- Forks
- 103
- PR merge metrics
- No merged PRs in 30d
Description
https://github.com/gregor-ge/Babel-ImageNet
https://twitter.com/GregorGeigle/status/1747305181245555062?t=6QehJOs0juX-CHFsvPmuFw&s=19
Looks like they have some new features
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
Review the linked Babel-ImageNet repository and the referenced post to determine which new features are intended for CLIP_benchmark. The issue names no files, tests, entry points, or acceptance criteria, so confirm the required scope with maintainers before identifying the relevant integration and defining done.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100