10 datasets found

The dataset used in this paper is a collection of images from different classes, including Africa, Monuments, Animals, and People.

The dataset used in the paper is a collection of 6 publicly available datasets from the UCI Machine Learning repository.

The dataset is a multiclass classification dataset containing 64x16 images of handwritten characters.

FEMNIST* dataset is a multiclass classification dataset containing 28,000 images of faces.

The Fashion-MNIST dataset is a multiclass classification dataset. It contains 70,000 28x28 grayscale images, with 10 classes.

The MAGIC dataset is a multiclass classification dataset containing 19020 samples, each described by 10 features.

The HAR dataset is a collection of physiological signals from human subjects.

The Iris dataset is a multivariate dataset introduced by Sir Ronald Fisher in his 1936 paper "The use of multiple measurements in taxonomic problems". It contains 150 samples...

The Breast Cancer Wisconsin dataset is a multiclass classification dataset. It contains 699 samples, each described by 9 features, and is used for cancer diagnosis.

The dataset used in this paper is a reinforcement learning dataset, specifically the SimpleQuestion dataset, which contains questions answerable using Wikidata as the knowledge...