benchclaw-stage3-real-image-annotation
OfficialAutomate real-image annotation for BenchClaw stage3.
Data & Analytics#benchmarking#image annotation#semi-supervised learning#ground truth generation#BenchClaw
AuthorEurecaMoment
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the annotation of real-image datasets in BenchClaw's stage3 process, streamlining the creation of ground truth annotations.
Core Features & Use Cases
- Automated Annotation: Provides a script to automatically annotate images using BenchClaw's default annotation tool.
- Semi-supervised GT Generation: Generates candidate annotations that require human review, optimizing the annotation process.
- Use Case: When dealing with a large dataset of images, this Skill can quickly produce candidate annotations, allowing human annotators to focus on reviewing and refining them.
Quick Start
To start the annotation process for the dataset with ID '12345', run the command: benchclaw-subskill /benchclaw-stage3-real-image-annotation 12345.
Dependency Matrix
Required Modules
BENCHCLAW_ROOT/annotation-tool/default-annotation
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: benchclaw-stage3-real-image-annotation Download link: https://github.com/EurecaMoment/BenchClaw/archive/main.zip#benchclaw-stage3-real-image-annotation Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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