image_text_matching_filter
OfficialMatch images with text using a custom filter with configurable criteria.
Data & Analytics#image analysis#text filtering#image text matching#BLIP model#image text correlation
Authorcas-bigdatalab
Version1.0.0
Installs0
System Documentation
What problem does it solve?
The image_text_matching_filter skill addresses the challenge of aligning images and text data, providing a solution to efficiently match images with associated text information.
Core Features & Use Cases
- Image-Text Matching: Filter and retain image-text pairs that score within specified ranges using a pre-trained HuggingFace BLIP model.
- Custom Filtering: Apply user-defined minimum and maximum scores to match image and text samples.
- Flexible Filtering Strategies: Support multiple filtering strategies including 'any' or 'all' for comprehensive data evaluation.
- Use Case: Use this skill in a workflow that requires the verification of image-text alignment for content validation and indexing tasks.
Quick Start
Filter and match image-text pairs from your dataset by running 'image_text_matching_filter' and specifying your criteria.
Dependency Matrix
Required Modules
py-data-juicertransformerstorch
Components
scriptsassets
💻 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: image_text_matching_filter Download link: https://github.com/cas-bigdatalab/piflow/archive/main.zip#image-text-matching-filter Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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