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Google Quickdraw
The dataset used in the paper is a Google Quickdraw dataset, which is a collection of 50,000 28x28 grayscale images. -
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
Face recognition dataset -
Prostate MRI dataset
The prostate MRI dataset is a collection of diffusion-weighted MRI images of prostate cancer patients. -
MRE-based prostate segmentation
Magnetic resonance elastography (MRE) data for prostate segmentation -
COVID CT-Net: Predicting Covid-19 From Chest CT Images Using Attentional Conv...
COVID-19 CT dataset for predicting COVID-19 from chest CT images using attentional convolutional network. -
COVID-19 Severity Classification on Chest X-ray Images
Chest X-ray images dataset used for COVID-19 severity classification -
Persian Rice Classification and Segmentation Dataset
The dataset comprises various rice types photographed under natural conditions without professional lighting or equipment, presenting a challenging yet practical classification... -
RADIOML 2018.01A
The RADIOML 2018.01A dataset is a public well-known dataset for automatic modulation classification. -
Radiopaedia COVID-19 Lung Infections in Chest CT volumes
The dataset used in this work consists of 9 axial volumes from Radiopaedia consisting of both positive and negative COVID indications. -
Jun et al. COVID-19 Lung Infections in Chest CT volumes
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. -
COVID-19 Lung Infections in Chest CT volumes
The dataset used in this work consists of 29 CT volumes from two different sources of lung infection data, resulting from COVID-19. -
Tobacco3482
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... -
RVL-CDIP (Ryerson Vision Lab Complex Document Information Processing)
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... -
Improving accuracy and speeding up Document Image Classification
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... -
Deep Learning Framework for Spatiotemporal Ultrasound Localization Microscopy
Ultrasound Localization Microscopy can resolve the microvascular bed down to a few micrometers. To achieve such performance microbubble contrast agents must perfuse the entire... -
NeuroCLIP: Neuromorphic Data Understanding by CLIP and SNN
Neuromorphic data understanding by CLIP and SNN -
DeepHDRVideo dataset
The DeepHDRVideo dataset encompasses both real-world dynamic scenes and static scenes enhanced with random global motion. -
Dhaka City PM2.5 Dataset
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... -
ImageNet Validation Set
The dataset used in the paper is the ImageNet validation set, a subset of the ImageNet dataset.