ForestFormer3D
Segments forest point clouds into individual trees and semantic classes in a single pass.
- Field
- Forestry & vegetation
- Method
- Deep learning
- Data it takes
- point-cloud
- License
- CC-BY-NC-4.0 — restricted use
ForestFormer3D is a transformer performing panoptic segmentation of forest point clouds, labeling which tree each point belongs to and what class it falls into within a single pass.
It is more recent than SegmentAnyTree and TreeLearn and can be run alongside them on the same data for comparison.
The license is CC-BY-NC-4.0, permitting non-commercial use only.
Catalog entry last checked 2026-08-18. All models →
Run ForestFormer3D on your data
The lab runs this on its own compute, in a container, with the inputs and parameters recorded alongside the result. Initial scoping conversations are free.
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