Yet Another Computer Vision Index To Datasets (YACVID) - Details

Stand: 2020-02-26 000000m 20:02:10 - Overview

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Name (Institute + Shorttitle)ScanNet 
Description (include details on usage, files and paper references)ScanNet is an RGB-D video dataset containing 2.5 million views in more than 1500 scans, annotated with 3D camera poses, surface reconstructions, and instance-level semantic segmentations. To collect this data, we designed an easy-to-use and scalable RGB-D capture system that includes automated surface reconstruction and crowdsourced semantic annotation. We show that using this data helps achieve state-of-the-art performance on several 3D scene understanding tasks, including 3D object classification, semantic voxel labeling, and CAD model retrieval. More information can be found in our paper.

ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes
Dai, Angela and Chang, Angel X. and Savva, Manolis and Halber, Maciej and Funkhouser, Thomas and Niessner, Matthias
CVPR 2017

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Files (#)2500000 
References (SKIPPED)
Category (SKIPPED) 
Tags (single words, spaced)scene indoor synthetic cad room layout rendering realism 3d segmentation object recognition 
Last Changed2020-02-26 
Turing (2.12+3.25=?) :-)