564 datasets found

Deep Image: Scaling up image recognition

Training Deep Neural Networks is complicated by the fact that the distribution of each layer's inputs changes during training, as the parameters of the previous layers change.

This paper presents a scalable deep learning model called Agile Temporal Convolutional Network (ATCN) for high-accurate fast classification and time series prediction in...

Skin Lesion Analysis dataset for melanoma detection

A dataset for pancreas segmentation.

The dataset used for testing the proposed T-Net and Stack T-Net for single image dehazing.

The dataset used for training and testing the proposed T-Net and Stack T-Net for single image dehazing.

The dataset used in this paper is a large variety of popular CNN models, such as straight-forward, complicated-connected, and grouped architectures.

The Street View House Numbers (SVHN) dataset used consist of 32x32 10,000 labelled image pool, 30,000 unlabelled pool and 26,032 testing pool.

Residual Networks (ResNet) is composed of stacked entities referred to as residual blocks. A Residual Block of ResNet contains a module and an identity loop.

Real-time intelligent detection and prediction of subjects' behavior particularly their movements or actions is critical in the ward.

SEN12MS: A curated dataset of georeferenced multi-spectral Sentinel-1/2 imagery for deep learning and data fusion.

Convolutional neural network (CNN) is an important network model widely used in computer vision, image processing, and scientific computing. CNN consists of an input layer, an...

A comprehensive robustness benchmark for Document Layout Analysis (DLA) models, including 450K document images from 3 datasets.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used Kodak, Tecnick, and CLIC 2022 as their test sets.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used Flicker2W and LIU4K as their training sets.

The ActualMed COVID-19 Chest X-ray Dataset Initiative is a collection of 13,975 CXR images of around 13,870 infected patients.

The COVID-19 Chest X-Ray Dataset Initiative is a collection of 13,975 CXR images of around 13,870 infected patients.

The dataset of chest x-rays used in this paper come from COVID-19 image data collection from Joseph Paul Cohen and Paul Morrison and Lan Dao. This dataset contains x-rays of...

The dataset used to train the proposed model is a combination of two open-source datasets called COVID-19 image data collection and Covid-Net.