YOLO Dataset Augmentation Tool

Versatile CLI tool that artificially expands YOLO object-detection datasets using image augmentation, correctly transforming bounding boxes alongside images and writing out an enlarged copy of the dataset for training.

• Box-aware augmentation pipeline with configurable output directory, filename prefixes, and minimum bounding-box visibility
• Built to improve detector performance (e.g., YOLO-family models as used in the Paddy Disease Detection work) by increasing dataset size and diversity

Code: github.com/bimarshak7/yolo-dataset-augment

Stack: Python, OpenCV, YOLO format tooling