ImageCLEF-DA

Introduced by Long et al. in Deep Transfer Learning with Joint Adaptation Networks

The ImageCLEF-DA dataset is a benchmark dataset for ImageCLEF 2014 domain adaptation challenge, which contains three domains: Caltech-256 (C), ImageNet ILSVRC 2012 (I) and Pascal VOC 2012 (P). For each domain, there are 12 categories and 50 images in each category.

Source: Domain-Symmetric Networks for Adversarial Domain Adaptation

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