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

Stand: 2017-11-24 000000m 21:11:42 - Overview

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Name (Institute + Shorttitle)TUD Campus 
Description (include details on usage, files and paper references)The TUD Campus dataset from Micha Andriluka, Stefan Roth and Bernt Schiele consists of 71 images and 303 highly overlapping pedestrians with large scale changes. The original annotation by Andriluka et al. [?] contains 303 tight bounding boxes for pedestrians with at least 50% visibility. A second annotation by Barinova annotated X pedestrians. Typically five scales are evaluated.

The dataset is typically used for tracking evaluation, however recently single-frame detectors were evaluated because of the challenge in overlaps. The protocol entails training on the TUD Pedestrian training dataset and its specifications. The evaluation criterion is the PASCAL 50%.

http://tahiti.mis.informatik.tu-darmstadt.de/datasets/tracking-by-detection/tud-campus-sequence.tar.gz
 
URL Linkhttp://tahiti.mis.informatik.tu-darmstadt.de/datasets/tracking-by-detection/tud-campus-sequence.tar.gz 
Files (#)71 
References (SKIPPED)
Category (SKIPPED)Object Detection, Object Tracking 
Tags (single words, spaced)segmentation, pedestrian, sideview, overlap 
Last Changed2017-11-24 
Turing (2.12+3.25=?) :-)