716 datasets found

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  • HiRISE Image Patches Obscured by Atmospheric Dust

    The dataset contains two sets of image patches each from the Experimental Data Record (i.e., Raw images without any corrections) and Reduced Data Record (i.e., corrected, and...

  • Open Images Dataset

    The dataset used in the experiment consists of 50 images equally distributed between five classes: aircraft, bird, bicycle, boat, and dog. Each class has 5 true positive images...

  • Open Images Dataset V4

    A dataset for image classification, object detection, and visual relationship detection.

  • VisDA

    A dataset for the study of domain adaptation solutions, composed of synthetic and real videos from seven gesture classes, from both the ground and air perspectives.

  • ResNet and WRN datasets

    ResNet and WRN datasets used for image classification tasks

  • UC Merced Land Use Dataset

    UC Merced Land Use Dataset (Yang & Newsam, 2010) contains remote sensing satellite images of 21 classes, with 100 images in each class.

  • S-CIFAR-100

    The S-CIFAR-100 is constructed by splitting CIFAR-100 into 10 tasks where each one contains 10 classes and 6,000 images.

  • S-CIFAR-10

    The S-CIFAR-10 is constructed by splitting CIFAR-10 into 5 sequential tasks where each task contain 2 classes and 12,000 images.

  • CIFAR-100 and ImageNet-1k

    The dataset used in the paper is not explicitly described, but it is mentioned that the authors used the CIFAR-100 and ImageNet-1k datasets for image classification and semantic...

  • BigEarthNet-S2

    BigEarthNet-S2 is a large-scale benchmark archive for remote sensing image classification and retrieval.

  • 15 Scenes

    The dataset used in this paper is a benchmark dataset for image and video classification. It contains 15 scenes with 4485 images, and 102 classes with 9144 images. The dataset...

  • CARPK

    The CARPK dataset is a large-scale aerial dataset for counting cars in parking lots. It contains images with a top-down view covering 4 different parking lots.

  • UltraMNIST

    UltraMNIST is a synthetic dataset generated by making use of the MNIST digits. For constructing an image, 3-5 digits are sampled such that the total sum of digits is less than 10.

  • Salient-Imagenet

    The dataset used in the paper is a large-scale dataset Salient-Imagenet, which is based on Imagenet with pixel-level annotations of irrelevant (spurious) and relevant (core)...

  • Plant phenotyping

    The dataset used in the paper is a real-world dataset for plant phenotyping, where half of the leaf images are infected with a Cercospora Leaf Spot (CLS), which are the black...

  • Decoy-MNIST

    The dataset used in the paper is a synthetic dataset similar to decoy-MNIST of Ross et al. (2017) with induced shortcuts and is presented in Section 5.2. For evaluation on...

  • ImageNet-Subset

    ImageNet-Subset is a subset of the ImageNet dataset, containing 100 classes with 500 training images, 50 validation images, and 50 test images per class.

  • Stanford Online Products

    The Stanford Online Products (SOP) dataset contains 120,053 product images covering 22,634 categories. The training set is composed of 59,551 images of the first 11,318...

  • ImageNet classification

    ImageNet classification dataset, COCO dataset

  • EyePACS dataset

    The EyePACS dataset is a collection of retinal fundus images of individuals potentially suffering from diabetic retinopathy (DR), an eye disease associated with diabetes that is...