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

Stand: 2017-04-28 000000m 21:52:32 - Overview

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Attribute Current Content New
Name (Institute + Shorttitle)Daimler Stereo Pedestrian 
Description (include details on usage, files and paper references)Daimler Stereo Pedestrian Detection Benchmark

C. Keller, M. Enzweiler, and D. M. Gavrila, A New Benchmark for Stereo-based Pedestrian Detection, Proc. of the IEEE Intelligent Vehicles Symposium, Baden-Baden, Germany, 2011.

This new benchmark extends the previously published Daimler Mono Pedestrian Detection Benchmark with


  • 7129 stereo image pairs not containing pedestrians in the training set, from which negative samples can be extracted (positive samples remain unchanged)

  • images of the second camera for the test set (a sequence with more than 21.790 images with 56.492 pedestrian labels, fully visible or partially occluded, captured from a vehicle during a 27 min drive through urban traffic, at VGA resolution (640x480, uncompressed)).

  • vehicle speed and steering angle measurements for the test set, with the yaw rate derived.


The dataset

  • specifies an evaluation setting (3D localization criterion, known ground plane, and sensor coverage area provides ROIs).

  • specifies performance metrics both at the frame- and trajectory-level (the latter also allows benchmarking of tracking algorithms).

  • provides the baseline performance of a state-of-the-art method (HOG/linSVM) on the specified training and test set.

  • is open: both training and test set are public and (freely) available for non-commercial purposes, see below.


 
URL Linkhttp://www.science.uva.nl/research/isla/downloads/pedestrians/index.html 
Files (#)7129 
References (SKIPPED)
Category (SKIPPED)Object Detection 
Tags (single words, spaced)pedestrian, detection, urban 
Last Changed2017-04-28 
Turing (2.12+3.25=?) :-)