19 datasets found

The Imagenette dataset used in the paper for class density and dataset quality in high-dimensional, unstructured data.

Getty Images dataset contains images from Getty Images

The MNIST dataset is a large dataset of handwritten digits, and the CIFAR-10 dataset is a dataset of images from 10 different classes.

High-resolution images of bedrooms.

High-resolution images of churches.

The dataset is created from public Instagram accounts and contains captions and images.

The Flickr2K dataset is a low-resolution image dataset used for image super-resolution tasks.

The MNIST and CIFAR-10 datasets are used to test the theory suggesting the existence of many saddle points in high-dimensional functions.

The MVDream dataset contains images with various objects and scenes.

The LAION5B dataset contains images with various objects and scenes.

CelebAHQ is a dataset of celebrity faces, with 30,000 images of 10,000 celebrities.

The dataset used in the paper is a collection of images from the SVHN dataset, along with labels. The dataset is used for image classification.

The CIFAR-10 and CIFAR-100 datasets are used to evaluate the performance of the commentaries curriculum.

The dataset used in the paper is Caltech101, which is a natural image classification dataset. It contains 101 categories of natural images.

VisDA-2017 is a simulation-to-real dataset with two extremely distinct domains: Synthetic renderings of 3D models and Real collected from photo-realistic or real-image datasets.

The dataset used in this paper is a neural network, and the authors used it to test the performance of their lookahead pruning method.

The dataset used in the paper is the KITTI dataset, which is a benchmark for monocular depth estimation. The dataset consists of a large collection of images and corresponding...

The dataset used in this paper is a Caltech-101 dataset, which is a dataset of images.

Human Pose Estimation (HPE) aims to estimate the position of each joint point of the human body in a given image. HPE tasks support a wide range of downstream tasks such as...