7 datasets found

The DenseNet dataset is a dataset for image recognition on handwritten digits composed of 60,000 training data and 10,000 test images.

The dataset consists of 60,000 images of objects in 200 categories, with 300 images per category.

The dataset used in the paper is the LSUN bedrooms dataset, a large-scale image dataset.

Deep Image: Scaling up image recognition

A dataset of images of holy places (Kaaba, Zamzam, Maqam Ibrahim) for training a deep learning model.

Large scale datasets [18, 17, 27, 6] boosted text conditional image generation quality. However, in some domains it could be difficult to make such datasets and usually it could...

The CIFAR-10 dataset consists of 60,000 training images and 10,000 test images. Each image is a 32×32 color image.