5 datasets found

Groups: Image Classification

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  • Birds

    Birds dataset consists of 28752 images of birds, each described by a Fisher vector representation.

  • dSprites dataset

    The dataset used in the paper is the dSprites dataset, which contains 2D-shape binary images with a size of 64×64, synthetically generated with five independent factors: shape...

  • CIFAR-10, CIFAR-100, and CelebA

    The dataset used in the paper is CIFAR-10 and CIFAR-100 for image classification, and CelebA for image-to-image translation.

  • AFHQ

    The dataset used in the paper is a set of images from the AFHQ dataset, containing 1.5K images of different animal faces.

  • YFCC100M

    The dataset used in the paper is YFCC100M, a large-scale video dataset. The dataset is used for foreground and background patch extraction and object recognition tasks.