BBoxML
The fastest bounding box annotation tool for solo developers
BBoxML launched on April 7, 2026.
What it does
BBoxML is a browser-based bounding box annotation tool for YOLO and COCO datasets, with AI-assisted labelling, visible pricing, and fast export for solo developers and small teams.
BBoxML helps you import image datasets, draw bounding boxes quickly, use AI-assisted labelling, and export training data in COCO or YOLO formats. Start with the getting started guide or browse the blog for beginner-friendly machine learning and image annotation tutorials. The fastest bounding box annotation tool for solo developers. Import images, label manually or with AI, and export training-ready datasets in YOLO or COCO format. You own your data — no open-source restrictions, no forced subscription. Prepare your datasets for training and deployment on iOS and Android. AI infers which objects you're labelling directly from the class name. Simply create your classes and then click "Label…from bboxml.com
Does a similar job
all alternatives →
bbox-visualizer – Make drawing and labeling bounding boxes easy as cake2020 · github.com · ▲67Make drawing and labeling bounding boxes a piece of cake - shoumikchow/bbox-visualizer
Bounding-box labeler tool to generate the training data for YOLO v22018 · github.com · ▲64Label images and video for Computer Vision applications - Cartucho/OpenLabeling
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