Cross-Dataset Testbed

Introduced by Tommasi et al. in A Testbed for Cross-Dataset Analysis

The Cross-dataset Testbed is a Decaf7 based cross-dataset image classification dataset, which contains 40 categories of images from 3 domains: 3,847 images in Caltech256, 4,000 images in ImageNet, and 2,626 images for SUN. In total there are 10,473 images of 40 categories from these three domains.

Source: Probability Weighted Compact Feature for Domain Adaptive Retrieval

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