# ecker-lab/TreeLearn

<https://repo.masters-masters.com/en/repos/ecker-lab/TreeLearn>

[Home](https://repo.masters-masters.com/en) › [ecker-lab](https://repo.masters-masters.com/en/owners/ecker-lab) › [TreeLearn](https://repo.masters-masters.com/en/repos/ecker-lab/TreeLearn)

ecker-lab/TreeLearn has 157 stars on GitHub. Its RepoMasters card: Prototype tier. Code for the paper "TreeLearn: A deep learning method for segmenting…

| Field | Value |
| --- | --- |
| Owner | [ecker-lab](https://repo.masters-masters.com/en/owners/ecker-lab) |
| Stars | 157 |
| Forks | 37 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2023 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [ecker-lab/TreeLearn](https://github.com/ecker-lab/TreeLearn) |

## Repository

Code for the paper "TreeLearn: A deep learning method for segmenting individual trees from ground-based LiDAR forest point clouds"

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.