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

Stand: 2020-06-03 000000m 20:44:45 - Overview

Attribute Current Content New
Name (Institute + Shorttitle)NYU Depth v2 
Description (include details on usage, files and paper references)The NYU-Depth V2 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. It features:

1449 densely labeled pairs of aligned RGB and depth images
464 new scenes taken from 3 cities
407,024 new unlabeled frames
Each object is labeled with a class and an instance number (cup1, cup2, cup3, etc)
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.

464 different indoor scenes
26 scene types
407,024 unlabeled frames
1449 densely labeled frames
1000+ Classes
Inpainted and raw depth available
Both object and instance labels 
URL Link 
Files (#)1449 
References (SKIPPED)
Category (SKIPPED)Semantic segmentation, Kinect 
Tags (single words, spaced)semantic segmentation depth kinect label reconstruction 
Last Changed2020-06-03 
Turing (2.12+3.25=?) :-)