Datasets:

zhwang1
/

TreeFinder

Tasks:

Image Segmentation

Modalities:

Languages:

Size:

Tags:

forest-monitoring

dead-tree-detection

ecological-monitoring

License:

Dataset card Data Studio Files Files and versions

zhwang1 commited on 13 days ago

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 **TreeFinder** is a large-scale, high-resolution benchmark dataset for mapping individual dead trees across the contiguous United States (CONUS). The dataset is built from 0.6 m National Agriculture Imagery Program (NAIP) aerial imagery and provides pixel-level annotations of individual dead trees, ecological metadata, and benchmark evaluation settings for robust machine learning model development.
-[TreeFinder was accepted to the **NeurIPS 2025 Datasets & Benchmarks Track**.](https://neurips.cc/virtual/2025/loc/san-diego/poster/121794)
 ## Dataset Description

 **TreeFinder** is a large-scale, high-resolution benchmark dataset for mapping individual dead trees across the contiguous United States (CONUS). The dataset is built from 0.6 m National Agriculture Imagery Program (NAIP) aerial imagery and provides pixel-level annotations of individual dead trees, ecological metadata, and benchmark evaluation settings for robust machine learning model development.
+TreeFinder was accepted to the **NeurIPS 2025 Datasets & Benchmarks Track**.
+Project page: https://neurips.cc/virtual/2025/loc/san-diego/poster/121794
 ## Dataset Description