LAION-AI / LAION-AI/CLIP_benchmark
Add support of zero-shot classification/retrieval evaluation of captioning models using log-likelihood scoring
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 814
- Forks
- 103
- PR merge metrics
- No merged PRs in 30d
Description
This issue has no description.
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
The issue body names no files, tests, or entry points. Start by defining the intended zero-shot classification and retrieval evaluation workflow for captioning models and identifying the existing evaluation entry points. Done should include a documented, runnable implementation with coverage for log-likelihood scoring.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100