11 datasets found

The Visual Genome Relationship Dataset contains 108,077 images and 1,531,448 relationships.

The Visual Relationship Dataset contains 5000 images with 100 object categories and 70 predicates.

The dataset used in the paper is a collection of trained networks and their corresponding datasets.

The Tecnick dataset is a dataset of 10 images, each with a size of 512x512 pixels.

The dataset used in this paper is the CIFAR10 dataset, which contains 60,000 32x32 color images in 10 classes, with 6,000 images per class.

COCO Stuff dataset is an extension of the COCO dataset, 164,000 images covering 171 classes are annotated with segmentation masks.

The dataset used in the paper is the Kodak PhotoCD dataset, which contains twenty-four 768 × 512 images.

The dataset used in the paper is YFCC100M, a large-scale video dataset. The dataset is used for foreground and background patch extraction and object recognition tasks.

The Visual Genome dataset is a large-scale visual question answering dataset, containing 1.5 million images, each with 15-30 annotated entities, attributes, and relationships.

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...

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...