Cuboid annotation is simple. However, one cannot surround a 3D box on a 2D screen and annotate accurately. Our team leverages multiple viewpoints across projections for cuboid annotation. Once the cuboid has found a cluster of points, the annotator can swap between different views to annotate better.
Point Cloud Segmentation
Semantic segmentation of 3D point clouds is challenging, and the iMerit team has in-house tools to support the classification of spatial point clouds. With our tooling ecosystem of client tools, in-house and 3rd party tools, iMerit teams can remarkably annotate videos and images in separate frames for higher accuracy and efficiency.