benchclaw-stage3-real-image-cleaning
OfficialEfficiently clean real-image datasets for BenchClaw benchmarking.
AuthorEurecaMoment
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the need for efficient cleaning of real-image datasets in the BenchClaw benchmarking process, ensuring data quality and readiness for annotation.
Core Features & Use Cases
- Real-Image Cleaning: Automates the cleaning process for real-image datasets.
- Data Integrity: Ensures the integrity of media files, sample existence, and metadata completeness.
- Use Case: Ideal for use in the BenchClaw benchmarking pipeline, where image datasets must be cleaned and prepared for annotation.
Quick Start
Run the benchclaw-stage3-real-image-cleaning skill on the dataset located at 'data_14_real_image_collection_bundle/datasets/<dataset_id>/'.
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: benchclaw-stage3-real-image-cleaning Download link: https://github.com/EurecaMoment/BenchClaw/archive/main.zip#benchclaw-stage3-real-image-cleaning Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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