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image_pair_similarity_filter

Official

Filter image pairs based on similarity score, enhancing visual content management.

Data & Analytics#filtering#image processing#image similarity#CLIP model#data_juicer
Authorcas-bigdatalab
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill provides the capability to filter image pairs based on their similarity score, simplifying the management and categorization of visual content.

Core Features & Use Cases

  • Image Pair Similarity Scoring: Uses the CLIP model to compute similarity scores between pairs of images.
  • Customizable Filtering: Filters out image pairs outside the specified similarity range based on user-defined minimum and maximum scores.
  • Versatile Filtering Strategy: Offers two strategies to determine if an image pair should be kept: 'any' or 'all'.
  • Use Case: This skill is useful in applications like image content moderation, organizing similar images in a database, or analyzing the relationship between image pairs.

Quick Start

Filter image pairs from 'input.jsonl' with a similarity range between 0.6 and 0.8, using 'any' filtering strategy and output to 'output.jsonl'.

Dependency Matrix

Required Modules

data_juicer

Components

scripts

💻 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_pair_similarity_filter
Download link: https://github.com/cas-bigdatalab/piflow/archive/main.zip#image-pair-similarity-filter

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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