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The Berkley Segmentation Dataset and Benchmark

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The goal of this work is to provide an empirical and scientific 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 first public installment of 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.

(Added: 2005-02-27 09:12:44-Last updated: 0000-00-00 00:00:00)
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