716 datasets found

The dataset used in the paper for out-of-distribution detection via conditional distribution entropy with optimal transport.

Cnn-rnn: A unified framework for multi-label image classification.

The dataset used in the paper is ImageNet, CSAIL Places, and COWC.

The dataset used to test the trigger detection accuracy.

The dataset used to train the trigger detector, generated from a public dataset through data augmentation.

The MARCO dataset contains 493,214 scored images from five institutions, with images collected from imagers made from two different manufacturers and in-house imaging equipment.

The MNIST-Superpixel dataset is a collection of images with superpixels, where each superpixel is a region of similar color.

A dataset for active semi-supervised learning for class imbalanced datasets

A dataset for active semi-supervised learning for class imbalanced datasets

The MNIST-Fellowship dataset is composed of three datasets (MNIST, Fashion-MNIST, and KMNIST) each composed of 10 classes.

The SLICE dataset contains images of slices of cheese.

Agricultural image dataset used to evaluate the proposed HaST-CW model.

The dataset used in the paper is CIFAR-10 and CIFAR-100, as well as SVHN.

Correlation responses obtained by correlation filters for image classification

The mediamill dataset consists of 43,907 examples. Each example has 120 features and belongs to one or multiple of the 101 classes.

The dataset used in this paper is the MNIST, CIFAR10, and CIFAR100 datasets.

The Fifteen Natural Scene Categories database is used for bag-of-features based image classification problem.

UT Zappos50K dataset

A variant of CIFAR-100 dataset, where the original dataset is split into 20 disjoint tasks, each consisting of 2,500 samples from 5 classes.

The dataset used in the paper is FashionMNIST and CIFAR-10, which are commonly used datasets for image classification tasks.