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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. -
CIFAR-10, CIFAR-100, and Tiny-ImageNet datasets
The CIFAR-10, CIFAR-100, and Tiny-ImageNet datasets used for training and testing the proposed framework. -
ResImageNet
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used ResImageNet dataset for their experiments. -
MNIST, KMNIST, FashionMNIST, STL-10 and CIFAR-10
The MNIST, KMNIST, FashionMNIST, STL-10 and CIFAR-10 datasets are used for few-shot learning experiments. -
LSUN Bedrooms
The dataset used in the paper is the LSUN bedrooms dataset, a large-scale image dataset. -
ImageNet, ImageNetV2, ImageNet-Sketch, ImageNet-A, ImageNet-R
The dataset used in the paper for few-shot classification tasks, including ImageNet, ImageNetV2, ImageNet-Sketch, ImageNet-A, ImageNet-R. -
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... -
Efficient Privacy Preserving Edge Computing Framework for Image Classification
The proposed framework is for image classification in edge computing systems. It uses autoencoders to extract critical features from the data and then trains a classifier on the... -
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. -
STACKEDMNIST
STACKEDMNIST is a dataset of images formed by concatenating triplets of randomly chosen MNIST digits. -
Morpho-MNIST
The dataset used in the paper is Morpho-MNIST, which contains 60,000 images each of "normal" and "transformed" digits, which are drawn with a thinner and thicker stroke. -
Animals with Attributes 2 dataset
The Animals with Attributes 2 dataset contains 37322 images of 50 animal classes. The classes are aligned to 85 binary attributes, e.g. color, habitat and others, via a... -
Fruits-360 dataset
A new and complex database of images with fruits. Also, some numerical experiments by using TensorFlow library in order to classify the images according to their content. -
PASCAL VOC 2007, 2010, 2012, ILSVRC 2013, and MSCOCO 2014 datasets
The PASCAL VOC 2007, 2010, 2012 datasets, the ILSVRC 2013 dataset, and the MSCOCO 2014 dataset. -
MNIST, CIFAR10, and FEMNIST datasets
MNIST, CIFAR10, and FEMNIST datasets are used to evaluate the effect of accuracy in various datasets. -
Wilds: A Benchmark of In-the-Wild Distribution Shifts
The dataset used in the paper is a collection of images for domain generalization tasks, including CIFAR-10-C, CIFAR-100-C, and Digit-DG. -
VLCS Dataset
VLCS dataset is a benchmark for image classification, containing images from four different datasets (domains): VOC2007, LabelMe, Caltech, and SUN09.
