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

Stand: 2020-05-28 000000m 23:09:15 - Overview

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Name (Institute + Shorttitle)Daimler Pedestrian Classification 
Description (include details on usage, files and paper references)Daimler Multi-Cue, Occluded Pedestrian Classification Benchmark

Training and test samples have a resolution of 48 x 96 pixels with a 12-pixel border around the pedestrians. Note, that the experiments in our paper (see above) were done on 36 x 84 pixel images with a border of 6 pixels, i.e. crops of the provided dataset, with a three-component layout corresponding to head, torso, legs. For publication of the dataset, we chose to provide images with a larger border and without a pre-defined component layout, to allow for higher flexibility in the selection of components.

M. Enzweiler, A. Eigenstetter, B. Schiele and D. M. Gavrila,
Multi-Cue Pedestrian Classification with Partial Occlusion Handling,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010 
URL Link 
Files (#)
References (SKIPPED)
Category (SKIPPED)Object Detection, Image Classification 
Tags (single words, spaced)detection, classification, pedestrian, urban 
Last Changed2020-05-28 
Turing (2.12+3.25=?) :-)