Caltech101-PMK
Added: Tuesday, May 27, 2008 by Eric Garcia - University of Washington
Tags:
Dense, Large, PSD, Symmetric, Vision
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Description
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The Caltech-101 data set (Fei-Fei et al., 2004) is an object recognition benchmark
dataset consisting of 8677 images from 101 object categories. Similarities between images were computed using the pyramid match kernel (Grauman and Darrell, 2007) on SIFT
features (Lowe, 1999). The similarity is positive definite.
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Details
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101 Classes, 8677 Instances, Dense, Symmetric
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Download
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ZIP Archive [195759 kb]
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