3D Bounding Box Annotation Tool
A semi-automatic, web-based toolbox for annotating 3D bounding boxes in full-surround, multi-modal sensor data streams.
What is 3D Bounding Box Annotation Tool?
3D Bounding Box Annotation Toolbox (3D-BAT) is an open-source tool for creating 3D bounding box annotations on point cloud and image data. It solves the problem of efficiently labeling multi-sensor, full-surround data streams for applications like autonomous vehicle perception and robotics. The tool provides a semi-automatic, web-based interface to streamline the annotation workflow.
Researchers and engineers in autonomous driving, robotics, and computer vision who need to create high-quality 3D labeled datasets from LiDAR and camera data.
Developers choose 3D-BAT for its comprehensive feature set supporting full-surround data, AI-assisted labeling, and active learning integration. Its web-based, customizable platform offers a flexible alternative to proprietary annotation tools.
Overview
3D Bounding Box Annotation Tool (3D-BAT) Point cloud and Image Labeling
Use Cases
Best For
- Labeling 3D objects in autonomous driving datasets
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