42 datasets found

The CD-CNN dataset contains data for urban resident recognition.

SVT is a very challenging dataset collected by Wang et al. from the Google Street View.

SFinGe is a synthetic fingerprint dataset that can generate fingerprints with varying ridge structures and patterns.

NIST Special Database 302 contains plain, rolled and touch-free impressions captured from various devices.

Fingerprint enhancement task can be related to image denoising. However, we need to consider the inherent properties of biometric data and that it should be handled differently...

Video classification is a fundamental problem in many video-based tasks. Applications such as autonomous driving technology, controlling drones and robots are driving the demand...

The OCR and MT datasets are used to train the OCR and MT models respectively.

The SoBiR dataset is used for soft biometric retrieval. It contains 8 camera views, 100 persons, and categorical annotations.

A dataset of real videos for action categorization, including HMDB-51 and UCF-101.

The CSTR VCTK Corpus is a dataset of speech recordings of 109 speakers, each with 20 utterances.

A dataset of 70000 handwritten samples of Bengali numerals for recognition using artificial neural network based architecture pre-trained by a stacked denoising autoencoder.

A dataset for skin disease recognition based on self-learning and wide data collection through a closed loop framework.

ICDAR2015 dataset consists of 1,670 images (17,548 annotated text regions) acquired using the Google Glass.

ICDAR2013 dataset is obtained from the Robust Reading Challenges 2013.

SynthText dataset is proposed by Gupta et al. for scene text detection. The original dataset is composed of 800,000 scene text images, each with multiple word instances.

Motion has shown to be useful for video understanding, where motion is typically represented by optical flow. However, computing flow from video frames is very time-consuming....

The Librispeech dataset is a large-scale speaker-dependent speech corpus containing 1080 hours of speech, 5600 utterances, and 1000 speakers.

The UCF101 dataset contains 13320 videos distributed in 101 action categories. This dataset is different from the above ones in that it contains mostly coarse sports activities...

Video classification is a fundamental problem in many video-based tasks. Applications such as autonomous driving technology, controlling drones and robots are driving the demand...

The Kinetics dataset is a large-scale human action dataset, which consists of 400 action classes where each category has more than 400 videos.