> For the complete documentation index, see [llms.txt](https://docs.mindkosh.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.mindkosh.com/3d-pointcloud-annotation.md).

# 3D pointcloud annotation

- [Sensor fusion interface](https://docs.mindkosh.com/3d-pointcloud-annotation/sensor-fusion-interface.md): Annotate data from multiple sensors like Lidars and cameras
- [Point cloud cuboid annotation](https://docs.mindkosh.com/3d-pointcloud-annotation/point-cloud-cuboid-annotation.md)
- [Point cloud Object tracking](https://docs.mindkosh.com/3d-pointcloud-annotation/point-cloud-object-tracking.md): Create object tracks to track them across frames and use automatic interpolation to drastically reduce annotation time.
- [Point cloud Segmentation](https://docs.mindkosh.com/3d-pointcloud-annotation/point-cloud-segmentation.md): How to perform semantic and instance segmentation annotation for point clouds on Mindkosh.
- [Keyboard shortcuts](https://docs.mindkosh.com/3d-pointcloud-annotation/keyboard-shortcuts.md)
- [Point cloud navigation](https://docs.mindkosh.com/3d-pointcloud-annotation/point-cloud-navigation.md)
- [Settings](https://docs.mindkosh.com/3d-pointcloud-annotation/settings.md): See what settings are available on Mindkosh to help you label point clouds quickly and efficiently.