42 datasets found

The MIDV-500 dataset is a video stream dataset used for text field recognition in a video stream.

The dataset used in this paper is the handwritten digits dataset.

EmoReact: A multimodal approach and dataset for recognizing emotional responses in children

FER: A dataset for facial expression recognition

Scene text recognition dataset

Scene text recognition dataset

The dataset used for handwritten text recognition, containing handwritten text images.

PETA dataset is a large-scale person re-identification dataset that contains binary and multi-class attribute annotations.

The dataset used in the paper is a high-quality fingerprint image dataset (plain and rolled print) and a poor-quality fingerprint image dataset (latent print).

The LeNet-5 dataset is a large collection of handwritten digit images.

RadioML2016.10 radio signal standard data set is used as the research object. The data set covers 11 radio modulated signals with different modulation modes. Each signal has a...

The KTH action dataset consists of humans performing 6 types of actions: boxing, clapping, waving, jogging, running, and walking under 4 scenarios: outdoors, outdoors with scale...

The Chinese Sign Language (CSL) dataset is a dataset of Chinese sign language videos. It contains 100 Chinese daily expressions, each demonstrated 5 times by 50 presenters.

The dataset used in the paper for attention-oriented data analysis and attention-based adversarial defense.

The TIMIT corpus is a widely used benchmark for speech recognition tasks. It contains 3,696 training utterances from 462 speakers, excluding the SA sentences. The core test set...

The JAFFE dataset is a collection of images of Japanese faces, each with a specific facial expression. The dataset was created to test the psychological plausibility of a...

The Stanford40 and HII datasets are used for image recognition. The Stanford40 dataset contains 40 action categories, while the HII dataset contains 10 action images.

The UCF101 and HMDB51 datasets are used for video recognition. The UCF101 dataset contains 101 action categories, while the HMDB51 dataset contains 51 classes.

Adaptive wavelet network for multiple cardiac arrhythmias recognition

RWTH-PHOENIX-Weather-2014 dataset is a benchmarking dataset for continuous Sign Language Recognition. It is a public television broadcast in Germany, where all signers wear dark...