TreeScope
First semantically segmented LiDAR dataset collected with robotic systems in agricultural environments.
TreeScope provides LiDAR data and ground-truth data for semantic segmentation and diameter estimation from agricultural environments to address the counting and mapping of trees in forestry and orchards. Raw data is available from UAV flights and our custom sensor platform, including sensor data from LiDAR, IMU, GPS, RGBD and thermal cameras. We provide ground-truth in the form of manually annotated semantic labels for the tree stems and field measurements of tree diameters.
TreeScope processed data, raw data, ground-truth data, benchmark scripts, and code are available to download. Check out our Github repo for an overview on how to use the data and benchmark scripts to evaluate the performance of diameter estimation and semantic segmentation algorithms.
