| --- |
| license: cc-by-nc-4.0 |
| task_categories: |
| - image-segmentation |
| - image-to-text |
| language: |
| - en |
| tags: |
| - remote-sensing |
| - tree-crown |
| - segmentation |
| - caption |
| - multimodal |
| - forest |
| - ecology |
| - LiDAR |
| size_categories: |
| - 10K<n<100K |
| pretty_name: TreeCrown-MM |
| --- |
| |
| # TreeCrown-MM |
|
|
| TreeCrown-MM is a multimodal remote sensing dataset for joint tree crown segmentation and caption. It contains 32,787 tiles (1024×1024 px) with ~330K annotated crowns and 285 species, spanning five ecosystem types (Boreal, Tropical, Subtropical, Temperate, Urban-Mixed) across multiple regions worldwide. Each tile provides four aligned modalities: RGB image, height map (LiDAR CHM or pseudo-depth), segmentation mask, and natural-language caption. |
|
|
| The dataset is split into train (26,787), val (1,500), test (1,500), and benchmark (3,000). Split assignments are in `split.json`, and tile-level metadata is in `metadata.csv`. |
|
|
| | File | Size | |
| |---|---| |
| | Boreal.tar.gz | 46 GB | |
| | Tropical.tar.gz | 20 GB | |
| | Subtropical.tar.gz | 21 GB | |
| | Temperate.tar.gz | 27 GB | |
| | Urban-Mixed.tar.gz | 12 GB | |
|
|
| Each archive extracts to four subdirectories: `images/`, `height/`, `masks/`, and `annotations/`. |
|
|
| ## Citation |
|
|
| Coming soon. |
|
|
| **License:** CC BY-NC 4.0 · **Contact:** mengjiao@njfu.edu.cn · **GitHub:** https://github.com/huafei18/TreeCrown-MM |
