Yolo_mark

Yolo_mark is a desktop annotation tool for preparing image datasets used to train YOLO v2 and YOLO v3 object detectors. Its Windows and Linux interface lets users draw, move, copy, delete, and clear bounding boxes around labeled objects. Class identifiers can be selected from the keyboard, while shortcuts speed up navigation between images and repeated annotation tasks. The project generates image-coordinate files and a training image list in the format expected by Darknet. It can also extract every specified frame interval from a video before manual labeling begins. OpenCV support, sample configuration files, object tracking, coordinate display, and training instructions make it a compact workflow for legacy YOLO dataset creation.