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Toronto-3D City Road Semantic Segmentation Dataset
Date
2 years ago
Size
1.07 GB
Organization
Publish URL
Paper URL
License
Other
Toronto-3D is a large-scale urban outdoor point cloud dataset for semantic segmentation. This large-scale labeled dataset is acquired by the Toronto MLS system in Canada, covers approximately 1 km of point cloud, and consists of approximately 78.3 million points with 8 labeled object classes.
Toronto-3D.torrent
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