492 datasets found

Common objects in context.

The ST dataset contains 31,893 Wafer Defect Maps acquired at the STMicroelectronics plant in Agrate Brianza, Italy.

A dataset with 1,127 images of pyrolyzed smartphone components, used to train and assess a VGG-16 image classification model for sorting waste electrical and electronic...

Deep metric learning (DML) methods typically leverage solely class labels to keep positive samples far away from negative ones. However, this type of method normally ignores the...

The Fashion MNIST dataset is a large dataset of fashion images, each image is a 28x28 grayscale image, and there are 60,000 training images, 10,000 validation images, and 10,000...

The dataset used for the ImageNet benchmark and the Cifar10 benchmark.

A large-scale dataset for fish segmentation and classification

A marine species classification using MobileNetV2 model

CIFAR-4K dataset.

The dataset used in the paper is DenseNet-40, which is a variant of the DenseNet architecture.

The dataset is used for multi-scale order-less pooling (MOP) experiments.

Reduced MNIST dataset of 6000 images

The APTOS-2019 blindness detection dataset is used for detecting diabetic retinopathy severity stages from fundus images.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used CIFAR-10, CIFAR-100, ImageNet, CUB-200-2011, and Stanford Dogs datasets.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used CIFAR-10, CIFAR-100, ImageNet, CUB-200-2011, and Stanford Dogs datasets.

The RSI-CB dataset is a dataset of satellite images, where each image is classified into one of 10 categories.

The FGVC Aircraft dataset is a dataset of images of aircraft, where each image is classified into one of 100 categories.

The AlexNet dataset is used to test the proposed systematic weight pruning framework.

The LeNet-5 dataset is used to test the proposed systematic weight pruning framework.

The dataset used in the paper is CIFAR-10 and CIFAR-100, which are two popular image classification datasets. SVHN is also used.