Segments.ai

Upload point clouds of unlimited size

Segments.ai can handle all the data you have. Our 3D Point Cloud interface splits point clouds into 3D tiles for faster loading times and a reduced GPU workload (similar to Google Map’s use of low to high-resolution images). And, the backend technology makes sure the UX stays fast and responsive.

Label dynamic objects with Batch Mode

Batch Mode lets you view all instances of an object in a sequence on a single, scrollable screen. Correcting labels is as easy as modifying the cuboid in one row, then watching the changes be applied in all other frames.

Label stationary objects with Merged Point Cloud

Make it easy to label stationary objects that only have a few points in each frame. Merged Point Cloud mode combines all the frames in a sequence into one large point cloud. By consolidating the points across frames, object outlines become more visible — allowing for precise annotation with a tight-fitting cuboid in a single go.

Propagate cuboids across sequences with machine learning

Speed up the process of 3D bounding box labeling with keyframe interpolation in the Batch Mode interface. On the Scale and Enterprise plans, you can also take advantage of the automated tracking feature. Automated cuboid propagation lets you label a moving object once, then automatically track it across frames by hitting the “play” button. If you notice any deviations from the path, simply hit pause, make the necessary corrections, and then continue again.

Rotate a cuboid along all 3 axes

In the point cloud interface for cuboids, you have the option to enable full 3D rotation by adjusting the dataset settings. By rotating on three axes, you’ll get better control of its orientation for more precise, accurate, and efficient labeling.