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image_face_count_filter

Official

Filter images by specific face count range.

Data & Analytics#machine learning#dataset preparation#data selection#face detection#image filtering
Authorcas-bigdatalab
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill simplifies the process of filtering images based on a specified range of faces, enabling efficient data selection for further analysis or processing.

Core Features & Use Cases

  • Image Filtering: Select images that contain a desired number of faces within the given range.
  • Use Case: Ideal for situations where a specific face count in images is required, such as in dataset preparation for face recognition or demographic analysis.

Quick Start

Run the image_face_count_filter skill to filter images from the 'image_dataset.jsonl' file, keeping images with at least 1 face and up to 5 faces.

Dependency Matrix

Required Modules

opencv-pythonpy-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_face_count_filter
Download link: https://github.com/cas-bigdatalab/piflow/archive/main.zip#image-face-count-filter

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