13 datasets found

The dataset used in the paper for semi-supervised intent classification

The Banking77 dataset is a specialized dataset for intent classification in the banking domain.

The eICU and MIMIC-IV datasets are used for out-of-distribution detection in medical tabular data.

The Dermatologist-level Classification of Skin Cancer dataset is a collection of dermoscopic images of skin lesions.

The BCN20000 dataset is a collection of dermoscopic images of skin lesions from Barcelona.

The International Skin Imaging Collaboration (ISIC) 2019 dataset is a multi-source dataset for dermoscopic lesion classification. It consists of 25,531 images corresponding to...

The dataset used for the Medical Out-of-Distribution (MOOD) challenge

The dataset used in the paper is Fashion-MNIST, MNIST, SVHN, dSprites, and CIFAR-10.

Gaussian Noise, Uniform Noise, Tin (C), Tin (R)

CIFAR-10, CIFAR-100, Tiny ImageNet, SVHN, iSUN, LSUN

The dataset used in the paper is not explicitly described, but it is mentioned that the authors conducted experiments on various vision tasks, including image classification,...

The dataset used in the paper is HAM10000, which is a dermoscopic image classification dataset. It contains 10,015 dermoscopic images categorized into 7 lesion types.

The dataset used for training and validation of the proposed approach to combine semantic segmentation and dense outlier detection.