181 datasets found

The proposed method uses four cough datasets, namely Cambridge, Coswara, Virufy, and Virufy integrated with NoCoCoDa to verify the proposed method.

The dataset used for the experiments in the paper, containing 28,147 compounds with a simple rule for classification.

The dataset used in this study is a collection of electrocardiogram (ECG) signals for the 2017 PhysioNet/CinC Challenge.

The SQF dataset is a dataset used for classification tasks, and it contains sensitive attributes such as race.

EEG classification aims to classify EEG recordings that consist of C sensor readings regularly sampled, e.g., at a set frequency in Hz, usually for a short time range of a few...

EEG classification aims to classify EEG recordings that consist of C sensor readings regularly sampled, e.g., at a set frequency in Hz, usually for a short time range of a few...

EEG classification aims to classify EEG recordings that consist of C sensor readings regularly sampled, e.g., at a set frequency in Hz, usually for a short time range of a few...

UCF101, HMDB51, Olympic Sports Dataset

The UCF101 dataset and videos captured using mobile phones and webcam representing the activity were used for training, inference, reconfiguration, and evaluation of the hardware.

The dataset used in this paper is a collection of wine quality classification problems.

The dataset used in this paper is a collection of ionosphere classification problems.

The dataset used in the paper is a mushroom classification problem with 8124 instances.

The dataset is an artificial 3D volume texture database used for 3D texture classification.

The TUH EEG Seizure Corpus (TUSZ) is a publicly available dataset used for research on automatic seizure detection and classification.

RF data-driven wireless device classification dataset

PROBEN1 is a set of neural network problems and benchmarking rules.

The Arrhythmia dataset is a collection of 452 electrocardiogram (ECG) records, each containing 10 minutes of ECG data. The dataset is used for classification tasks, such as...

The dataset used in the paper for few-shot video classification, containing videos from Kinetics and Something-Something V2 datasets.

Hyperspectral images classification is a high technical remote sensing software. The purpose is to reproduce a thematic map. The HSI contains more than a hundred hyperspectral...

The ICIP 2013 Cell Classification Contest dataset is comprised of more than 13500 cells categorized into 6 classes.