75 datasets found

Groups: Image Classification

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  • Cifar-10

    A binary imbalanced classification dataset with 32 × 32 color images of 10 classes of natural objects.

  • Imagenet

    The dataset used in the paper is the Imagenet dataset, which is a large annotated dataset of images used for image classification tasks.

  • MNIST handwritten digit database

    The MNIST handwritten digit database is a dataset of 60,000 8x8 grayscale images of handwritten digits.

  • ILSVRC2012

    The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a subset of the validation dataset used for the ImageNet Large Scale Visual...

  • MNIST and CIFAR10

    The MNIST and CIFAR10 datasets are used to evaluate the proposed Adversarial Training with Transferable Adversarial Examples (ATTA) method.

  • Custom Dataset

    The authors created a custom dataset for their experiment, consisting of 33,000 images of 320 possible object-image combinations, with 10 possible shapes, 8 possible colors, 2...

  • PASCAL VOC 2007

    Multi-label image recognition is a practical and challenging task compared to single-label image classification.

  • Caltech-UCSD Birds 200

    The Caltech-256 object category dataset is used for the feature extraction step, and the Omniglot dataset is used for the evaluation.

  • Reading digits in natural images with unsupervised feature learning

    The paper presents a method for reading digits in natural images using unsupervised feature learning.

  • AFHQ

    The dataset used in the paper is a set of images from the AFHQ dataset, containing 1.5K images of different animal faces.

  • Spherical-MNIST, atomic energy, Shrec17, diffusion MRI

    The dataset used in this paper for classification tasks on spherical-MNIST, atomic energy, Shrec17 data sets, and group testing on diffusion MRI data.

  • CIFAR-10 and CIFAR-100 Datasets

    The CIFAR-10 and CIFAR-100 datasets are used to evaluate the performance of the commentaries curriculum.

  • Oxford 102 Flowers

    Oxford 102 Flowers is a dataset of images of different flower species.

  • Structural Vision Transformer

    Structural Vision Transformer (StructViT) is a vision transformer network that leverages structural self-attention (StructSA) to capture correlation structures in images and...

  • MobileNetV2

    The dataset used in this paper is a MobileNetV2 model, which is a type of deep neural network. The dataset is used to evaluate the performance of the proposed heterogeneous system.

  • Synthetic Dataset

    The dataset used in this work is a custom synthetic dataset generated using the liquid-dsp library, containing 600000 examples of each of 13.8 million examples, with SNRs...

  • Street View House Number (SVHN) dataset

    The Street View House Number (SVHN) dataset consists of 32x32 RGB images of house numbers captured from Google Street View.

  • YFCC100M

    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.

  • Office-Home, Office-31, and DomainNet

    Office-Home, Office-31, and DomainNet are benchmark datasets for semi-supervised domain adaptation.

  • ResNet50

    The dataset used in this paper is a ResNet50 model, which is a convolutional neural network. The model is used to evaluate the effects of quantization on the compute...