Working with Geometry in 3LC

Computer vision annotations often consist of spatial data that describe shapes or regions of interest. These may include axis-aligned or oriented bounding boxes, point clouds, poses, segmentation masks, polygon lists, and more. 3LC provides a flexible format for storing and working with these annotation types, which can be used both in the 3LC Dashboard and in downstream machine learning workflows.

The articles below cover these annotation types in detail.