3D Tree-level Study by Point Clouds

The ForestSemantic_ITD_3D dataset consists of LiDAR point clouds collected from various forest and climate regions around the world using multiple platforms including, terrestrial (TLS), mobile (MLS), and unmanned aerial vehicle (ULS) systems. The dataset also includes tree-level annotations. Datasets are provided for participants to develop their ITD methods and to evaluate their performances.

The dataset includes point clouds both in their original resolution and in a resampled resolution of 5cm (3D). Due to the limitations of the online system, evaluations will be conducted using the 5cm resolution data. Namely, the participants can process the data using the original resolution and down sample the results to 5cm resolution, or alternatively, directly work on the provided 5cm resolution data.

3D ITD dataset is exclusively used in the ITD Contest, 2025, at this stage, and it will be public after the contest.

Figure 1. Examples of the dataset with rich diversity and tree-level annotation.

 

WG III/1

Tree

Maria 1

Maria 2

Indoor 2

Indoor 1

Segmentation

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