131 datasets found

The dataset used in the paper is a real-world dataset for plant phenotyping, where half of the leaf images are infected with a Cercospora Leaf Spot (CLS), which are the black...

The dataset used in the paper is a synthetic dataset similar to decoy-MNIST of Ross et al. (2017) with induced shortcuts and is presented in Section 5.2. For evaluation on...

ImageNet classification dataset, COCO dataset

The dataset used in the paper is WRN-22-8.

The dataset used in this paper is a collection of images from the STL-10 dataset, preprocessed and used for training and evaluation of the proposed diffusion spectral entropy...

The MNIST handwritten digit database is a dataset of 60,000 training and 10,000 test examples of handwritten digit images.

The ImageNet Large Scale Visual Recognition Challenge (ILSVRC) dataset is a large-scale image classification dataset containing over 14 million images from 21,841 categories.

The dataset used for the experiments of the paper.

The dataset used in the paper is a large collection of small images, each representing a patch of a jigsaw puzzle. The patches are of the same size and orientation, and the goal...

The dataset used in the paper is a set of images, and the authors used it to train and test their ladder network model.

The UniPerf dataset is a benchmark for perceptual parsing for scene understanding.

iSAID dataset is a large-scale high-resolution remote sensing dataset for aerial instance segmentation, containing many small objects with complex backgrounds.

The CIFAR-100 dataset consists of 100 classes of 32 × 32 RGB images with 60,000 training and 10,000 testing examples.

The ImageNet-20 and ImageNet-100 datasets are used for zero-shot image classification tasks.

Information Pursuit (IP) is an explainable prediction algorithm that greedily selects a sequence of interpretable queries about the data in order of information gain, updating...

The Caltech-UCSD Birds-200-2011 Dataset consists of 11,169 bird images from 200 categories and each category has 60 images averagely.

A synthetic toy dataset of square images of n = 4 pixels, where each pixel takes values between 0 and 255 in grayscale.

The VOC2012 dataset is a multi-label image recognition dataset. It contains 11,540 train-val images and 10,991 test images.

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 in the paper is a large set of real images extracted from various object categories of the ImageNet, COCO, and Unpaired real dataset.