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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 AreaFile CountMax Tree Height
    CULS325 m
    NIBIO2030 m
    NIBIO25025 m
    RMIT215 m
    SCION530 m
    TUWIEN235 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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