102 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...

UC Merced Land Use Dataset (Yang & Newsam, 2010) contains remote sensing satellite images of 21 classes, with 100 images in each class.

The dataset is used for lost and found image identification. It contains images of lost and found items, and the authors used it to train a deep learning model to identify the...

The PSI-BLAST dataset contains protein structures obtained from a PSI-BLAST search using RAS sequences. This set was generated to test the ability of neural networks to classify...

The KRAS-HRAS dataset contains protein structures belonging to the KRAS and HRAS subfamilies of RAS. There is a total of 233 structures, 77 and 156 belonging to KRAS and HRAS...

The authors used the UCI Bank Marketing Dataset (UBMD), Lesion Disease Classification (LDC) and CIFAR-10 datasets for their experiments.

The dataset used in the paper for whole slide image (WSI) classification, which is a type of digital pathology. The dataset consists of histopathology and cytopathology images,...

The dataset used in this paper is the 3D-Shapes dataset, a 3D shape classification dataset.

The PointNet dataset is used for semantic segmentation of 3D point clouds. It contains annotated point clouds of objects such as table, human, box, robot, and cube.

Microscopic images of starch samples from 9 different botanical sources

The sugarcane leaf disease dataset has been collected from a trustworthy Mendeley repository. There are five main categories in the manually gathered sugarcane leaf disease...

A federated and continual learning framework for classification tasks in a society of devices

The Diabetes dataset contains 10 variables-dimensions for a sample size (number of points) of 442 and a target (label) variable which quantifies diabetes progress.

The dataset used in this paper is a wine dataset, consisting of 27 chemical measurements from a collection of wine samples from Piedmont region, Italy.

Classification of vegetable oils according to their botanical origin using sterol profiles established by direct infusion mass spectrometry.

Breast cancer dataset for automatic detection, segmentation, and classification of breast lesions in mammography images

The avila dataset is used to evaluate the performance of our model.

The anuran and avila datasets are used to evaluate the performance of our model.

The cardio, anuran, and avila datasets are used to evaluate the performance of our model.

The contraceptive, cardio, anuran, and avila datasets are used to evaluate the performance of our model.