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

Stand: 2018-12-18 000000m 17:53:45 - Overview

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Name (Institute + Shorttitle)House3D: A Rich and Realistic 3D Environment 
Description (include details on usage, files and paper references)House3D is a virtual 3D environment which consists of thousands of indoor scenes equipped with a diverse set of scene types, layouts and objects sourced from the SUNCG dataset. It consists of over 45k indoor 3D scenes, ranging from studios to two-storied houses with swimming pools and fitness rooms. All 3D objects are fully annotated with category labels. Agents in the environment have access to observations of multiple modalities, including RGB images, depth, segmentation masks and top-down 2D map views. The renderer runs at thousands frames per second, making it suitable for large-scale RL training.

House3D: A Rich and Realistic 3D Environment
Yi Wu, Yuxin Wu, Georgia Gkioxari and Yuandong Tian

For questions regarding House3D contact Yuxin Wu

 
URL Linkhttps://github.com/facebookresearch/House3D 
Files (#)45000 
References (SKIPPED)
Category (SKIPPED) 
Tags (single words, spaced)house indoor simulation environment 3d photo-realistic realism depth segmentation urban rgb render 
Last Changed2018-12-18 
Turing (2.12+3.25=?) :-)