14 datasets found

Generated ImageNet-100 data for training ResNet-18

The dataset used in the paper is a synthetic MNIST dataset generated by forming barycenters constructed with weights sampled uniformly from ∆3.

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

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used the ImageNet, ImageNetV2, ImageNet-Sketch, ImageNet-A, and Imagenet-R datasets.

The dataset used in this paper is the FashionMNIST dataset, which consists of 60,000 images of clothing items from 10 different classes.

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.

The dataset used in this paper is CIFAR-10, CelebA-HQ, LSUN-Church and LSUN-Bedrooms.

The dataset used in the paper is a large-scale image generation dataset, which is used to evaluate the performance of the characteristic guidance method.

The COCO dataset is a large-scale dataset for object detection, semantic segmentation, and captioning. It contains 80 object categories and 1,000 image instances per category,...

A synthetic image dataset generated with Stable Diffusion using the Wordnet taxonomy and the definitions of concepts it contains.

The dataset used in the paper is not explicitly described, but it is mentioned that it is a large-scale captioned image dataset (LAION) used to train the Stable Diffusion 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 dataset used for training and validation of the proposed approach to combine semantic segmentation and dense outlier detection.

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...