{"skill":{"slug":"dataset-splitter","displayName":"Dataset Splitter","summary":"Split image datasets into train, validation, and test sets with options for random or stratified splits, custom ratios, and annotation support.","tags":{"latest":"1.0.0"},"stats":{"comments":0,"downloads":283,"installsAllTime":0,"installsCurrent":0,"stars":0,"versions":1},"createdAt":1772707596050,"updatedAt":1777525630732},"latestVersion":{"version":"1.0.0","createdAt":1772707596050,"changelog":"Initial release of Dataset Splitter:\n\n- Split image datasets into train/val/test sets with configurable ratios.\n- Supports random and stratified splitting to maintain class balance.\n- Handles corresponding annotation files for each image.\n- Optionally outputs in YOLO dataset format.\n- Ensures reproducible splits by setting a random seed.\n- Can copy or move files during splitting.","license":null},"metadata":null,"owner":{"handle":"mingo-318","userId":"s174azpqkfzaht4rsrns8gsy4983gadk","displayName":"Mingo_318","image":"https://avatars.githubusercontent.com/u/62329898?v=4"},"moderation":null}