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

Stand: 2020-06-03 000000m 20:29:25 - Overview

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Name (Institute + Shorttitle)TUD Pedestrians training 
Description (include details on usage, files and paper references)The TUD Pedestrians training dataset from Micha Andriluka, Stefan Roth and Bernt Schiele consists of 210 and 400 training images with X pedestrians with significant variation in clothing and articulation. The annotation contains bounding boxes and segmentation masks.
The dataset is typically used for training single-frame pedestrian detectors using additional virtual training samples by flipping, rotating, scaling, shifting and bootstrapping the training data. Sometimes it is also mixed up with the INRIA People training dataset. 
URL Link 
Files (#)210 
References (SKIPPED)
Category (SKIPPED)Object Detection 
Tags (single words, spaced)segmentation, pedestrian, sideview 
Last Changed2020-06-03 
Turing (2.12+3.25=?) :-)