<- Back to Datasets

3R-Scan

A large scale dataset for 3D object instance re-localization

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.

View this Dataset
->
Technical University of Munich
https://www.tum.de
Task
3D Object Pose
Annotation Types
Keypoint
Items
Classes
Labels
Models using this dataset
Last updated on 
January 20, 2022
Licensed under 
Research Only
Label your own datasets on V7
Try our trial or talk to one of our experts.