cv-dataset-analyzer
cv-dataset-analyzer is a Computer vision skill for AI agents, published by KeploreAI-Lab in the MindAct repository on GitHub. Skillspace rates cv-dataset-analyzer D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Use this skill whenever a user wants to work with a computer vision dataset — even if they only mention uploading a zip file, sharing a folder link, or saying "I have a dataset". This skill handles the full pipeline: (1) ingesting data from a zip upload or download URL, (2) auto-detecting the dataset format and running visual analysis with charts and statistics, and (3) converting the dataset into the correct training format for the target model (COCO JSON, YOLO txt, Pascal VOC XML, Anomalib MVTec, etc.). Trigger this skill when the user says things like: "analyze my dataset", "I have labeled images", "here's my zip file", "check my annotations", "convert to COCO format", "prepare data for YOLOv8/Detectron2/MMDetection", "I want to train on my images", or uploads any archive file (.zip, .tar, .gz) containing images. Do NOT wait for the user to say "dataset analysis" explicitly — trigger on any sign they are preparing image/video data for model training.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 85
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 84 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- AGPL-3.0
- Adoption
- Adopted by 1 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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