660 datasets found

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  • ImageNet-5, ImageNet-20, and ImageNet-100

    The dataset used in the paper is ImageNet-5, ImageNet-20, and ImageNet-100, which are subsets of the ImageNet dataset.

  • PotatoPestNet: A CTInceptionV3-RS-Based Neural Network for Accurate Identific...

    A dataset of potato pests images for identification and classification.

  • 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...

  • Rank-1 Convolutional Neural Network

    The proposed method uses the MNIST, CIFAR10, and Dog and Cat datasets for experiments.

  • FMNIST

    FMNIST is a dataset of 28x28 grayscale images of handwritten digits.

  • MobileNet

    MobileNet is a compact network working accurately and efficiently based on light-weight module of separable convolution layers.

  • ResNet

    The dataset used in this paper for data-free network quantization.

  • 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.

  • ISIT-UMR Colonoscopy Dataset

    The ISIT-UMR Colonoscopy Dataset is a dataset used for colonoscopy image classification, consisting of images of colonoscopy and polyps.

  • CPC-Paired Dataset

    The CPC-Paired Dataset is a dataset used for colorectal polyp classification, consisting of paired white-light (WL) and narrow-band imaging (NBI) images.

  • ImageNet-LT

    The dataset is a benchmark for self-supervised learning on long-tailed data. It contains 115.8K images with 1000 categories, ranging from 1,280 to 5 in terms of class cardinality.

  • Street View House Numbers (SVHN) dataset

    Generative Adversarial Networks (GANs) are an adversarial model that achieved impressive results on generative tasks. In spite of the relevant results, GANs present some...

  • CASIA-WebFace, CIFAR-10 and ImageNet (ILSVRC 2012)

    The dataset used in the paper is CASIA-WebFace, CIFAR-10 and ImageNet (ILSVRC 2012) for face verification and image classification tasks.

  • Pascal VOC

    Semantic segmentation is a crucial and challenging task for image understanding. It aims to predict a dense labeling map for the input image, which assigns each pixel a unique...

  • Galaxy10

    The Galaxy10 dataset is used in the paper to evaluate the performance of the SE(2)-CNN and Sim(2)-CNN.

  • MNIST, CIFAR-10, SVHN Datasets

    The Modified National Institute of Standards and Technology database (MNIST), Canadian Institute For Advanced Research (CIFAR) and Street View House Numbers (SVHN) datasets are...

  • CIFAR10 and CIFAR100

    The dataset used in the paper is not explicitly described, but it is mentioned that the authors conducted experiments on various vision tasks, including image classification,...

  • IMAGENET1K

    The IMAGENET1K dataset is a large-scale image classification dataset.

  • HAM10000

    The dataset used in the paper is HAM10000, which is a dermoscopic image classification dataset. It contains 10,015 dermoscopic images categorized into 7 lesion types.

  • AVA

    The dataset used in this paper is a Flickr image dataset, which is used to evaluate the proposed deep aesthetic feature learning framework.