Installs into .claude/skills of the current project.
Are you the author of Clip Zeroshot Retrieval Eval?
Add the live security badge to your README. It updates with every re-scan.
[](https://www.skillsdirectory.com/skills/vectorspacelab-clip-zeroshot-retrieval-eval)
---
name: clip_zeroshot_retrieval_eval
description: Evaluate CLIP-style zero-shot classification and cross-modal retrieval with normalized similarity rankings.
---
# CLIP Zero-Shot And Retrieval Evaluation
Use this skill when checking downstream CLIP transfer mechanisms: class-prompt similarity for zero-shot classification and image/text ranking for retrieval.
## Inputs
- Image embeddings.
- Class text embeddings and labels for classification.
- Caption/text embeddings aligned by index for retrieval.
- Recall cutoffs.
## Outputs
- Top-1 accuracy percentage.
- Recall@K percentages.
- Ranking traces.
## Workflow
1. Normalize image and text/class embeddings.
2. For classification, choose the class with maximum similarity.
3. For retrieval, rank candidates by similarity with deterministic tie-breaking.
4. Compute percentages and save trace data.
## Validation
Run `python tests/test_zeroshot_retrieval_eval.py`.
## Limitations
This skill evaluates provided embeddings; it does not download datasets or run large model inference.
