660 datasets found

Forest CoverType dataset, converted into a binary task identifying class 1 against the rest.

The Landmarks-User-160k dataset is a collection of 164,172 images of 2,028 landmarks from 1,262 users.

The Imagenette dataset used in the paper for class density and dataset quality in high-dimensional, unstructured data.

The Tiny-ImageNet dataset is a subset of the ImageNet dataset.

The proposed method aims to utilize the similarity correlation between different instances.

The CASIA ITDE v.2 dataset is a binary classification dataset that differentiates between authentic and tampered images.

Human vision is naturally more attracted by some regions within their field of view than others. This intrinsic selectivity mechanism, so-called visual attention, is influenced...

The dataset used in this paper is a pre-trained DNN trained on the Cifar10 and Cifar100 datasets.

The dataset used in this paper is VGG5 and ResNet20, which are commonly used architectures for image classification tasks.

Spatial pattern templates for recognition of objects with regular structure.

Generated ImageNet-100 data for training ResNet-18

The dataset used in the paper is a benchmark dataset for multi-class image classification: CIFAR-10, CIFAR-100, FashionMNIST, and SVHN.

The mini-MNIST dataset is a smaller version of the MNIST dataset, containing 10,000 28x28 grayscale images of handwritten digits.

Breast cancer dataset where mammograms have been labeled independently by three doctors. Ground-truth has been obtained through a biopsy, not available to the algorithm nor the...

ImageNet Subsets

The dataset used in the paper is a MNIST dataset, a CIFAR10 dataset, and a CelebA dataset.

The TreeSatAI dataset used in this paper for multi-label tree species classification.

The dataset used in this paper for multi-label remote sensing image classification.

The dataset used in the paper is ResNet-20, a deep convolutional neural network for image classification.

The dataset used in the paper is MNIST, CIFAR10 and STL10. These are datasets for image classification tasks.