14 datasets found

Groups: Image Classification Formats: JSON

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  • RLDF ImageNet-100

    Generated ImageNet-100 data for training ResNet-18

  • Synthetic MNIST dataset

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

  • LSUN Bedrooms

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

  • No Token Left Behind: Explainability-Aided Image Classification and Generation

    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.

  • FashionMNIST dataset

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

  • CIFAR10 dataset

    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.

  • CIFAR-10, CelebA-HQ, LSUN-Church and LSUN-Bedrooms

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

  • ImageNet 256

    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.

  • COCO Dataset

    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,...

  • Stable Diffusion Wordnet Dataset

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

  • LAION

    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.

  • MS-COCO

    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...

  • LSUN

    The dataset used for training and validation of the proposed approach to combine semantic segmentation and dense outlier detection.

  • COCO

    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...