Segments.ai

This feature simultaneously enables data annotation from various sensors, such as 2D images and 3D point clouds. It ensures that the created annotations are coherent, consistent, and accurate across these data types.

It allows the user to label a dynamic object simply by drawing a box on the first frame. This feature automatically tracks objects in all successive frames, saving time when labeling moving objects.

The feature stitches all the frames over a sequence into one big point cloud. It is very useful for annotating static objects accurately by providing a holistic view of the environment.

This is an ML-powered tool for segmenting the coherent regions of an image in small image areas. The images can then be labeled more speedily and accurately, increasing efficiency in the labeling process.

Segements.ai automatically generates segmentation masks by drawing a box around an object. It helps quickly label small or high-resolution objects, reducing manual efforts greatly.

Using a zero-shot generalization, this model makes segments for every object in an image with a click. Segements.ai simplifies the segmentation process and greatly improves the efficiency of labeling.