2D & 3D Semantic Segmentation

Since the world is not made out of boxes, we are also offering a more precise method to annotate your data - 2D & 3D semantic segmentation.

Depending on the raw data, bounding boxes can contain noise in the form of background and occlusions. This is tackled with semantic segmentation, where each pixel assigned to the class of your selected objects will be annotated. Pixelwise & voxelwise semantic segmentation is often used for training the neural networks on annotated images, videos or scans.

Learn more about the various types of annotations our annotation tool provides at https://understand.ai/zero-touch-anno...