Published 2025
| Version v2
Dataset
Open
SemanticRail3D: A 3D Point Cloud dataset with semantic annotations of railway environments
Description
This repository contains the SemanticRail3D dataset, a high-quality 3D point cloud dataset for railway infrastructure segmentation and classification. It consists of 438 point clouds, each covering 200 meters of track, totaling 2.8 billion points labeled into 11 semantic classes. The dataset is structured for machine learning applications, with train, validation, and test splits.
More info in our github repository.
Files
SemanticRail3D_v2.zip
Files
(7.2 GB)
| Name | Size | Download all |
|---|---|---|
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md5:ec5baf7458c9b4357592c2b38f81c686
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7.2 GB | Preview Download |
Additional details
Related works
- Is derived from
- Journal article: 10.3390/rs13122332 (DOI)
- Is referenced by
- Journal article: 10.1016/j.autcon.2023.104854 (DOI)
Funding
- Agencia Estatal de Investigación
- Mantenimiento predictivo-cognitivo para la gestión integrada del ferrocarril (4RAIL) CPP2021-008374
- Agencia Estatal de Investigación
- RYC2021‐033560‐I
Software
- Repository URL
- https://github.com/Arshia-Gha/SemanticRail3D_Dataset
- Programming language
- Python