clip-aware-embeddings
OfficialSmart image-text matching
Data & Analytics#embeddings#model selection#computer vision#clip#image similarity#zero-shot classification
Authorcuriositech
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps you accurately match images with text descriptions by understanding the limitations of CLIP and recommending appropriate alternatives when necessary, preventing common errors in AI-driven image analysis.
Core Features & Use Cases
- CLIP Usage Guidance: Provides a decision tree to determine if CLIP is suitable for your task.
- Alternative Model Recommendations: Suggests specific models (e.g., DETR, PC-CLIP) for tasks CLIP struggles with, such as counting, fine-grained classification, spatial reasoning, and attribute binding.
- Use Case: You need to find images of "a red car next to a blue truck." This Skill will correctly advise against using standard CLIP and recommend a compositional model like PC-CLIP for accurate results.
Quick Start
Use the clip-aware-embeddings skill to determine if CLIP is appropriate for the query "Find images of cats playing with yarn".
Dependency Matrix
Required Modules
transformerspillowtorchsentence-transformers
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: clip-aware-embeddings Download link: https://github.com/curiositech/some_claude_skills/archive/main.zip#clip-aware-embeddings Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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