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

Stand: 2020-06-05 000000m 08:09:20 - Overview

Attribute Current Content New
Name (Institute + Shorttitle)NYU Depth v1 
Description (include details on usage, files and paper references)The NYU-Depth data set is comprised of video sequences from a variety of indoor scenes as recorded by both the RGB and Depth cameras from the Microsoft Kinect. The dataset has several components:

Labeled: A subset of the video data accompanied by dense multi-class labels. This data has also been preprocessed to fill in missing depth labels.
Raw: The raw rgb, depth and accelerometer data as provided by the Kinect.
Toolbox: Useful functions for manipulating the data and labels.
The train/test splits used for evaluation.

64 different indoor scenes
7 scene types
108,617 unlabeled frames
2347 densely labeled frames
1000+ Classes
Inpainted and raw depth available
URL Link 
Files (#)2347 
References (SKIPPED)
Category (SKIPPED)Semantic segmentation, Kinect 
Tags (single words, spaced)semantic segmentation depth kinect label reconstruction 
Last Changed2020-06-05 
Turing (2.12+3.25=?) :-)