Bounding-box labeler tool to generate the training data for YOLO v2

In plain words

Bounding-box labeler tool is a software application that helps create training datasets for YOLO v2 object detection models. It enables users to draw bounding boxes around objects in images and label them, producing the annotated data necessary for training computer vision systems. The tool is designed for developers and researchers working with machine learning and object detection projects who need to prepare labeled image datasets efficiently.

written from the facts on this page · September 2026

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