625 datasets found

COVID-19 pandemic has spread rapidly and caused a shortage of global medical resources. The efficiency of COVID-19 diagnosis has become highly significant.

The dataset used in the paper is a Google Quickdraw dataset, which is a collection of 50,000 28x28 grayscale images.

Face recognition dataset

The prostate MRI dataset is a collection of diffusion-weighted MRI images of prostate cancer patients.

Magnetic resonance elastography (MRE) data for prostate segmentation

COVID-19 CT dataset for predicting COVID-19 from chest CT images using attentional convolutional network.

Chest X-ray images dataset used for COVID-19 severity classification

A 3DGS-based SLAM approach that integrates deep visual features, dual keyframe selection, and 3DGS.

The dataset comprises various rice types photographed under natural conditions without professional lighting or equipment, presenting a challenging yet practical classification...

The RADIOML 2018.01A dataset is a public well-known dataset for automatic modulation classification.

The dataset used in this work consists of 9 axial volumes from Radiopaedia consisting of both positive and negative COVID indications.

The dataset used in this work consists of 20 volumes from Jun et al. consisting of infections labelled by two radiologists and verified by another experienced radiologist.

The dataset used in this work consists of 29 CT volumes from two different sources of lung infection data, resulting from COVID-19.

Document digitization has become a common practice in a wide variety of industries that deal with vast amounts of archives. Document classification is a task to face when trying...

Document digitization has become a common practice in a wide variety of industries that deal with vast amounts of archives. Document classification is a task to face when trying...

Document digitization has become a common practice in a wide variety of industries that deal with vast amounts of archives. Document classification is a task to face when trying...

Ultrasound Localization Microscopy can resolve the microvascular bed down to a few micrometers. To achieve such performance microbubble contrast agents must perfuse the entire...

Neuromorphic data understanding by CLIP and SNN

The DeepHDRVideo dataset encompasses both real-world dynamic scenes and static scenes enhanced with random global motion.

A custom dataset of photos and PM2.5 of that time, taken inside Dhaka City, the capital of Bangladesh. The pictures are of a time range from 2020 to 2022. The dataset mainly...