> For the complete documentation index, see [llms.txt](https://developer.supervisely.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://developer.supervisely.com/getting-started/python-sdk-tutorials/point-clouds.md).

# Point Clouds

- [Point Clouds (LiDAR)](https://developer.supervisely.com/getting-started/python-sdk-tutorials/point-clouds/point-clouds-and-episodes.md)
- [Point Cloud Episodes and object tags](https://developer.supervisely.com/getting-started/python-sdk-tutorials/point-clouds/pointcloud-episodes-and-object-tags.md): How to create and add tags, update and remove tags from Point Cloud Episode annotation objects and frames
- [3D point cloud object segmentation based on sensor fusion and 2D mask guidance](https://developer.supervisely.com/getting-started/python-sdk-tutorials/point-clouds/point-cloud-segmentation-with-2d-mask-guidance.md): How to create 3D segmentation masks in point clouds with 2D mask guidance and camera calibration data
- [3D segmentation masks projection on 2D photo context image](https://developer.supervisely.com/getting-started/python-sdk-tutorials/point-clouds/3d_mask_projection.md): How to transfer segmentation masks from 3D point cloud to 2D photo context image