FOR-instanceV2: Forest LiDAR 3D Point Clouds for Instance Segmentation

FOR-instanceV2 is a dataset of forest LiDAR 3D point clouds used for end-to-end segmentation. It was created by author zhan994 for the paper "ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds". The dataset was last updated on the Hugging Face platform on June 13, 2026.

Use Cases

• Training 3D instance segmentation models based on forest LiDAR point clouds.
• Benchmarking end-to-end segmentation frameworks for ecological studies.
• Developing algorithms for individual tree detection and crown delineation from aerial scans.

Strengths

• Dataset is directly associated with a published research paper, providing academic context.
• Includes both raw and processed versions of the data, offering flexibility for different analysis stages.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Hugging Face user zhan994, associated with the SmartForest-no GitHub organization.

Collection Method

Likely collected via aerial LiDAR scanning of forested areas.

Freshness

Last updated 2026-06-13 14:04:08; freshness should be verified.