DATASET
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NPM3D dataset with instance labels
The NPM3D urban mobile mapping dataset includes instance labels and is intended for precise instance segmentation research on large‑scale LiDAR point clouds.
Updated 5/23/2024
github
Description
Dataset Overview
NPM3D Dataset
- Download Link: NPM3D Dataset Download
- Semantic Labels:
- 1: "ground"
- 2: "buildings"
- 3: "poles"
- 4: "bollards"
- 5: "trash cans"
- 6: "barriers"
- 7: "pedestrians"
- 8: "cars"
- 9: "natural"
- Directory Structure:
data/ npm3dfused/ raw/ *_train.ply # training data *_val.ply # validation data *_test.ply # test data
FOR‑instance Dataset
- Download Link: FOR‑instance Dataset Download
- Forest Area Details:
Forest Area File Count Max Tree Height CULS 3 25 m NIBIO 20 30 m NIBIO2 50 25 m RMIT 2 15 m SCION 5 30 m TUWIEN 2 35 m - Splits:
- Training: 56 files
- Validation: 14 files
- Test: 26 files
- Directory Structure:
data/ treeinsfused/ raw/ CULS/ *_train.ply *_val.ply *_test.ply NIBIO/ *_train.ply *_val.ply *_test.ply NIBIO2/ *.ply RMIT/ *.ply SCION/ *.ply TUWIEN/ *.ply
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Topics
Urban Mapping
Instance Segmentation
Source
Organization: github
Created: 7/5/2023
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