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CIFAR-10 and ImageNet-2012
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used the CIFAR-10 and ImageNet-2012 datasets. -
SUN Attribute
The dataset used in the paper is SUN Attribute, which consists of 717 classes of images with annotations. -
Efficient CNN with uncorrelated Bag of Features
The proposed approach is evaluated on three different datasets: MNIST, fashionMNIST, and CIFAR10. -
CRC dataset
Microscopic examination of tissues or histopathology is one of the diagnostic procedures for detecting colorectal cancer. The pathologist involved in such an examination usually... -
EfficientNet
The EfficientNet dataset contains 21k training images and 8k testing images. -
ImageNet-52R
The dataset used in the paper is ImageNet-52R, a random subset of ImageNet for object detection. -
ImageNet-52P
The dataset used in the paper is ImageNet-52P, a subset of ImageNet for object detection. -
CIFAR100 Super-class
A variant of the CIFAR100 dataset, containing 100 fine-grained image classes aggregated into 20 distinct super-classes. -
COCO-stuff dataset
The COCO-stuff dataset contains images of people performing various activities, such as playing sports, riding bicycles, and more. -
Swin Transformer dataset
The Swin Transformer dataset is a dataset for visual transformer. -
CelebA-HQ, ImageNet
CelebA-HQ, ImageNet -
CIFAR-10, CIFAR-100, SVHN, MNIST, KMNIST, FashionMNIST
CIFAR-10, CIFAR-100, SVHN, MNIST, KMNIST, FashionMNIST -
COCO Detection Track
The COCO detection track dataset is used for object detection tasks. -
So2Sat LCZ42
The So2Sat LCZ42 dataset is a benchmark dataset for global local climate zones classification from Sentinel-2 images. -
BeeImage Dataset
BeeImage dataset -
Bumble Bee Species Image Classification
Bumble bee species image classification dataset -
ISLVRC2012
The dataset used in the paper is ISLVRC2012, a dataset for image classification. -
MIT Places 365
The dataset used in the paper is MIT Places 365, a dataset for scene recognition.