120 datasets found

Tags: Image classification

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  • Colored MNIST dataset

    The dataset used in the paper is a binary classification task in a 300-dimensional space. The procedure for generating the training dataset is as follows: Each label y ∈ {−1, 1}...
  • Very Deep Convolutional Networks for Large-Scale Image Recognition

    The dataset consists of 60,000 images of objects in 200 categories, with 300 images per category.
  • MNIST and CIFAR-10

    The MNIST dataset is a large dataset of handwritten digits, and the CIFAR-10 dataset is a dataset of images from 10 different classes.
  • ImageNet, ADE20K, and COCO datasets

    The dataset used for ImageNet recognition, ADE20K semantic segmentation, and COCO panoptic segmentation.
  • CIFAR-LT

    Long-tailed imbalance distribution is a common issue in practical computer vision applications.
  • Places205

    Places205 is a dataset of 2.5 million images from 205 categories, with 12,000 images per category.
  • Open Images Dataset V4

    A dataset for image classification, object detection, and visual relationship detection.
  • UltraMNIST

    UltraMNIST is a synthetic dataset generated by making use of the MNIST digits. For constructing an image, 3-5 digits are sampled such that the total sum of digits is less than 10.
  • Salient-Imagenet

    The dataset used in the paper is a large-scale dataset Salient-Imagenet, which is based on Imagenet with pixel-level annotations of irrelevant (spurious) and relevant (core)...
  • Plant phenotyping

    The dataset used in the paper is a real-world dataset for plant phenotyping, where half of the leaf images are infected with a Cercospora Leaf Spot (CLS), which are the black...
  • Decoy-MNIST

    The dataset used in the paper is a synthetic dataset similar to decoy-MNIST of Ross et al. (2017) with induced shortcuts and is presented in Section 5.2. For evaluation on...
  • ImageNet classification

    ImageNet classification dataset, COCO dataset
  • WRN-22-8

    The dataset used in the paper is WRN-22-8.
  • STL-10 dataset

    The dataset used in this paper is a collection of images from the STL-10 dataset, preprocessed and used for training and evaluation of the proposed diffusion spectral entropy...
  • MNIST database of handwritten digits

    The MNIST handwritten digit database is a dataset of 60,000 training and 10,000 test examples of handwritten digit images.
  • ImageNet Large Scale Visual Recognition Challenge (ILSVRC)

    The ImageNet Large Scale Visual Recognition Challenge (ILSVRC) dataset is a large-scale image classification dataset containing over 14 million images from 21,841 categories.
  • Hand

    The dataset used for the experiments of the paper.
  • PACS dataset

    The dataset used in the paper is a large collection of small images, each representing a patch of a jigsaw puzzle. The patches are of the same size and orientation, and the goal...
  • Image dataset

    The dataset used in the paper is a set of images, and the authors used it to train and test their ladder network model.
  • UniPerf

    The UniPerf dataset is a benchmark for perceptual parsing for scene understanding.
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