README.md

metadata

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