LAION-AI / LAION-AI/CLIP_benchmark

make zero shot classifier building fast by batching

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UX
Dominant language
Python
Stars
814
Forks
103
PR merge metrics
No merged PRs in 30d

Description

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start with clip_benchmark/metrics/zeroshot_classification.py at line 44 and inspect how the zero-shot classifier is built. Run the relevant CLIP benchmark workflow before and after the change; done means classifier construction uses batching and completes faster without changing evaluation behavior.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
machine-learning, performance
Issue type
Refactor
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
42/100

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