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

Stand: 2017-04-26 000000m 02:13:37 - Overview

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Name (Institute + Shorttitle)Video Segmentation Benchmark 
Description (include details on usage, files and paper references)The Video Segmentation Benchmark (VSB100) provides ground truth annotations for the Berkeley Video Dataset, which consists of 100 HD quality videos divided into train and test folders containing 40 and 60 videos, respectively. Each video was annotated by four different persons. The annotation comes with the evaluation software used for the experiments reported in Galasso et al.

Download training set (40 Videos, external link to Berkeley server)
Download Test set (60 Videos, external link to Berkeley server)

Local links for Train and Test set
Train set
Test set

Download annotation

Full frame annotation - General Benchmark.
Training set [Full Res] [Half Res]
Test set [Full Res] [Half Res]

Download evaluation code (ver 1.3)

Denser annotations for training set by Khoreva et.al, GCPR 2014: [Full Res] [Half res]

Subtasks

Motion - objects which undergo significant motion. Objects such as snow, fire are excluded.
Training set [Full Res] [Half Res]
Test set [Full Res] [Half Res]

Non-rigid motion - subset of Motion subtask, objects which undergo signficant articulated motion
Training set [Full Res] [Half Res]
Test set [Full Res] [Half Res]

Camera motion - sequences where the camera moves
Training set [Full Res] [Half Res]
Test set [Full Res] [Half Res]

Mirror links of VSB100

[Mirror 1] [Mirror 2]

Terms of use

The dataset is provided for research purposes. Any commercial use is prohibited. When using the dataset in your research work, you should cite the following papers:

F. Galasso, N.S. Nagaraja, T.J. Cardenas, T. Brox, B. Schiele
A Unified Video Segmentation Benchmark: Annotation, Metrics and Analysis,
International Conference on Computer Vision (ICCV), 2013.

P. Sundberg, T. Brox, M. Maire, P. Arbelaez, and J. Malik
Occlusion Boundary Detection and Figure/Ground Assignment from Optical Flow,
Computer Vision and Pattern Recognition (CVPR), 2011
.
 
URL Linkhttp://lmb.informatik.uni-freiburg.de/resources/datasets/vsb.en.html 
Files (#)100 
References (SKIPPED)
Category (SKIPPED) 
Tags (single words, spaced)video segmentation benchmark object tracking pedestrian groundtruth motion 
Last Changed2017-04-26 
Turing (2.12+3.25=?) :-)