validate-dataset
CommunityEnsure dataset integrity and quality.
Software Engineering#quality assurance#validation#data integrity#dataset#ai training#mask correctness
AuthorTWoolff
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the critical need to verify the accuracy and consistency of generated datasets, preventing downstream errors in AI model training.
Core Features & Use Cases
- Automated Validation: Runs comprehensive checks on generated dataset output.
- Specific Checks: Validates mask correctness, joint bounds, file pairing, resolution, and region distribution.
- Use Case: After generating a new batch of segmentation masks and joint data, use this Skill to confirm that all images have corresponding masks and joint files, that the masks accurately represent the image content, and that the joint positions are within expected bounds.
Quick Start
Run automated validation checks on the generated dataset located at ./output/segmentation/.
Dependency Matrix
Required Modules
None requiredComponents
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: validate-dataset Download link: https://github.com/TWoolff/strata-training-data/archive/main.zip#validate-dataset Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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