564 datasets found

The dataset consists of 20 malware families. Three of these malware families, namely, Winwebsec, Zeroaccess, and Zbot, are from the Malicia dataset, while the remaining 17...

Places205 is a dataset of 2.5 million images from 205 categories, with 12,000 images per category.

CIFAR-10-S is a dataset that combines error-minimizing and One-Pixel Shortcut (OPS) to craft stronger imperceptible unlearnable examples.

One-Pixel Shortcut (OPS) is a data protection method that perturbs only one pixel in each image.

The dataset used in the paper is a THz beamspace MIMO system, where the authors propose a novel deep learning technique framework to address the analog beam selection problem.

The dataset used for this study is a public dataset added with some private data, used for health insurance claim fraud detection.

A deep learning based CAPTCHA solver for vulnerability assessment

The UCR archive is a collection of univariate time series datasets where classification is of importance.

Brain tumor segmentation is a critical task for patient’s disease management. In order to automate and standardize this task, we trained multiple U-net like neural networks,...

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used VGG-16, ResNet-50, and MobileNet-v2 models on the ImageNet and CIFAR-10...

The paper proposes a Bagging Deep Learning Training Framework (BEND) based on efficient neural network diffusion.

An efficient and robust iris segmentation algorithm using deep learning.

A deep-learning-based iris segmentation technique using a quicker R-CNN supplemented with six layers.

The BraTS 2020 validation dataset contains the same type of MR images from 125 patients, without the ground truth annotations.

ImageNet-Subset is a subset of the ImageNet dataset, containing 100 classes with 500 training images, 50 validation images, and 50 test images per class.

A large corpus of essays written by Brazilian high school students that were graded by experts following the evaluation criteria of the ENEM exam.

The dataset is composed of 46 high variance data points, with 10 Negative and 36 Positive data points.

Land cover classification is a key application for remote sensing and Earth observation (EO) data, as it provides essential information for various domains, such as urban...

Deep learning for 3D building reconstruction: A review

The dataset used in the paper for traffic flow estimation recovery using limited data.