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

Stand: 2017-03-25 000000m 12:35:48 - Overview

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Name (Institute + Shorttitle)Weizmann Horses 
Description (include details on usage, files and paper references)The multi-scale Weizmann horses (originally from Eran Borenstein, adapted by Jamie Shotton) consists of 656 images which is split into 50+50training, 50+50 validation and 228+228 testing images. It contains side views of horses with a large variation in pose and contains segmentation masks for the horses.
The single-scale Weizmann horses contains 328 horse and 900 background images resized to have the horses at single scale. It also contains segmentation masks for the horses.
The protocol for detection entails training on the first 100 images (see readme) and evaluating the Shotton criterion. The bounding box is not relevant and is not evaluated.
Segmentation is also evaluated on this dataset... using (fixme?)

http://jamie.shotton.org/work/data/WeizmannSingleScale.zip
http://jamie.shotton.org/work/data/WeizmannMultiScale.zip
http://jamie.shotton.org/work/data.html
 
URL Linkhttp://jamie.shotton.org/work/data.html 
Files (#)656 
References (SKIPPED)
Category (SKIPPED)Object Detection by Shape, Object Segmentation 
Tags (single words, spaced)detection, shape, segmentation, clutter, nature, horse 
Last Changed2017-03-25 
Turing (2.12+3.25=?) :-) 

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