This package can generate artificial training data for the yolo framework. All you need is a greescreen / cut image of your object.

End-to-end ML pipeline for detecting bullet holes and calculating shooting scores. Includes an OpenGL synthetic data generator, YOLO model training, and a real-time Android inference app via NCNN.

A Python-based synthetic dataset generator for YOLO that creates handwritten-style images with randomized fonts, numbers, and rotations. It automatically places quantity and price values inside predefined bounding boxes, producing debug images and training-ready data for object detection.