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

Stand: 2020-05-29 000000m 14:40:21 - Overview

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Name (Institute + Shorttitle)BSDS300 
Description (include details on usage, files and paper references)The goal of this work is to provide an empirical basis for research on image segmentation and boundary detection. To this end, we have collected 12,000 hand-labeled segmentations of 1,000 Corel dataset images from 30 human subjects. Half of the segmentations were obtained from presenting the subject with a color image; the other half from presenting a grayscale image. The public benchmark based on this data consists of all of the grayscale and color segmentations for 300 images. The images are divided into a training set of 200 images, and a test set of 100 images.

We have also generated figure-ground labelings for a subset of these images which may be found here

We have used this data for both developing new boundary detection algorithms, and for developing a benchmark for that task. You may download a MATLAB implementation of our boundary detector below, along with code for running the benchmark. We are committed to maintaining a public repository of benchmark results in the spirit of cooperative scientific progress. 
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Files (#)300 
References (SKIPPED)
Category (SKIPPED)Unsupervised Segmentation, Edge Detection 
Tags (single words, spaced)segmentation, edge, contour, detection 
Last Changed2020-05-29 
Turing (2.12+3.25=?) :-)