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

Stand: 2018-10-16 000000m 07:27:51 - Overview

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Name (Institute + Shorttitle)Alpert Objećt Instance Segmentation 
Description (include details on usage, files and paper references)To evaluate the segmentation produced by different algorithms we have compiled a database, currently containing 200 gray level images along with ground truth segmentations. The database is specially designed to avoid potential ambiguities by only incorporating images that clearly depict one or two object/s in the foreground that differ from its surroundings by either intensity, texture, or other low level cues. The ground truth segmentation were obtained by asking human subjects to manually segment the gray scale images (the color source is also provided) into two or three classes with each image segmented by three different human subjects. The segmentation is evaluated by assessing its consistency with the ground truth segmentation and their amounts of fragmentation. Together with this database evaluation we have provided a code for the evaluation of the given segmentation algorithm. That way different segmentation algorithm may have comparable results for more details see the “Evaluation tests” section. If you use this database you agree to the disclaimer below and include a citation to our CVPR 2007 paper:

@inproceedings{AlpertGBB07,
author = {"Sharon Alpert and Meirav Galun and Ronen Basri and Achi Brandt"},
title = {"Image Segmentation by Probabilistic Bottom-Up Aggregation and Cue Integration."},
booktitle = {"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},
month = {"June"},
year = {"2007"}
URL Link 
Files (#)200 
References (SKIPPED)
Category (SKIPPED) 
Tags (single words, spaced)object segmentation instance tools grayscale 
Last Changed2018-10-16 
Turing (2.12+3.25=?) :-)