3R-Scan

by Johanna WaldResearch Only

3R-Scan

3R-Scan is a large scale, real-world dataset which contains multiple 3D snapshots of naturally changing indoor environments, designed for benchmarking emerging tasks such as long-term SLAM, scene change detection and object instance re-localization. It features 1482 RGB-D scans of 478 environments across multiple time steps. Each scene includes several objects whose positions change over time, together with ground truth annotations of object instances and their respective 6DoF mappings among re-scans.

Dataset Attributes

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TasksScene Change Detection, Object Localization, Object Re-Localization, Segmentation
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CategoriesIndoor, Office, Furniture
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SensorRGB-D

Class Labels

SeatingTable/ CabinetBed/ SofaAppliancesCushionsItemsStructure