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Point Cloud Annotation for Machine Enlightenment

The 3D point cloud is the set of points generated by sensors like LiDAR that define the 3D structure of an object in space. We are compatible with both 3D annotation techniques and point cloud handling for processing quality sensory training data. With a team of around 120 annotators we have worked with one of the Fortune 10 companies gaining definite experience annotating LiDAR images.

Point Cloud Annotation for Machine Enlightenment

The 3D point cloud is the set of points generated by sensors like LiDAR that define the 3D structure of an object in space. We are compatible with both 3D annotation techniques and point cloud handling for processing quality sensory training data. With a team of around 120 annotators we have worked with one of the Fortune 10 companies gaining definite experience annotating LiDAR images.

3D LiDAR

LiDAR is a point cloud data obtained using laser beams. We annotate 3D LiDAR data using 3D annotation techniques like cuboid annotation and semantic segmentation.

2D LiDAR

The 2D version of LiDAR data can also be processed. We annotate such LiDAR images using 2D bounding boxes