660 datasets found

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  • ImageNet-10 Dataset

    The ImageNet-10 dataset is a subset of the ImageNet-1K dataset, containing images from 10 classes.

  • 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.

  • Visual Domain Decathlon Benchmark

    The Visual Domain Decathlon Benchmark consists of 10 image classification tasks that have been explicitly selected to represent different domains.

  • Tiny ImageNet and ImageNet

    The dataset used in the paper is Tiny ImageNet and ImageNet.

  • CIFAR-10 and ImageNet-100

    The dataset used in the paper is CIFAR-10 and ImageNet-100.

  • CIFAR-10, CIFAR-100, and ImageNet

    The dataset used in the paper is not explicitly described, but it is mentioned that the authors used CIFAR-10, CIFAR-100, and ImageNet datasets.

  • UCMerced land use dataset

    UCMerced land use dataset for remote sensing image scene classification

  • Microsoft COCO

    The Microsoft COCO dataset was used for training and evaluating the CNNs because it has become a standard benchmark for testing algorithms aimed at scene understanding and...

  • ImageNet Large Scale Visual Recognition Challenge

    A benchmark for low-shot recognition was proposed by Hariharan & Girshick (2017) and consists of a representation learning phase without access to the low-shot classes and a...

  • DOTA

    The DOTA dataset is a large aerial image dataset for oriented objects detection which contains 2806 images with the size ranges from 800 × 800 to 4000 × 4000 and 188282...

  • ImageNet-21k

    The dataset used in the paper is the ImageNet-21k dataset, which is a large-scale hierarchical image database.

  • Visual Anomaly (VisA) Dataset

    The Visual Anomaly (VisA) dataset is a large-scale industrial anomaly detection dataset containing 10,821 high-resolution color images with 9,621 normal and 1,200 anomalous...

  • notMNIST Dataset

    The dataset used in this paper is a notMNIST dataset, which is a binary image dataset.

  • Caltech-101 Dataset

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

  • MNIST Dataset

    The MNIST dataset (Lecun et al., 1998), which consists of 60,000 gray-scale images of handwritten digits. Each image has an accompanying label in {0, 1,..., 9}, and is stored as...

  • Learning Multiple Layers of Features from Tiny Images

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

  • ImageNet-1k

    The dataset used in the paper is not explicitly described, but it is mentioned that the authors used it for language modeling and image classification tasks.

  • CIFAR-10 and ImageNet

    The dataset used in the paper is not explicitly described, but it is mentioned that the authors used the CLIP model and the CIFAR-10 and ImageNet datasets.

  • 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...