716 datasets found

Groups: Image Classification

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  • FloodNet

    FloodNet is a high-resolution image dataset acquired by a small UAV platform, DJI Mavic Pro quadcopters, after Hurricane Harvey.
  • WideResNet-28-10 and WideResNet-34-2

    The WideResNet-28-10 and WideResNet-34-2 datasets are used to evaluate the performance of the proposed two-level group convolution.
  • ResNet-50

    The dataset used in the paper is the ResNet-50 dataset, a convolutional neural network model.
  • Traffic Signs dataset

    The Traffic Signs dataset contains 39252 training images in 43 classes.
  • CIFAR10-DVS

    The dataset used in the paper is CIFAR10-DVS, a dataset of 10,000 event streams of 128x128 images.
  • CIFAR-10 and SVHN

    The dataset used in the paper is the CIFAR-10 and SVHN datasets. CIFAR-10 is a dataset of 32x32 color images in 10 classes, while SVHN is a dataset of 32x32 color images of...
  • MiniImagenet

    The MiniImagenet dataset is a benchmark for few-shot learning, consisting of 60,000 images from 21 classes, each with 300 images.
  • subImageNet

    The dataset used in the paper is subImageNet, a subset of ImageNet.
  • COIL-DEL

    The COIL-DEL dataset contains 3900 graphs which are converted from images by the Harris corner detection algorithm and Delaunay triangulation.
  • Binarized MNIST

    We use the preprocessed binarized MNIST dataset from [49] which has a split of 50k/10k/10k.
  • MNIST and CIFAR-10 datasets

    The MNIST and CIFAR-10 datasets are used to test the theory suggesting the existence of many saddle points in high-dimensional functions.
  • BlockMNIST

    The BlockMNIST dataset is a variation of the MNIST dataset with additional objects in the background.
  • Manifold Hypothesis for Gradient-Based Explanations

    The dataset used in the paper is a collection of images from various sources, including MNIST, EMNIST, CIFAR10, X-ray pneumonia, and Diabetic Retinopathy detection.
  • AlexNet

    The dataset used in the paper is the AlexNet dataset, which contains 60,000 32x32 color images in 10 classes, with 6,000 images per class.
  • Evaluation Dataset

    The dataset used for evaluation of the proposed method. It contains images of humans and faces, with pre-annotated bounding boxes for persons and faces.
  • Caltech-UCSD-Birds-200-2011

    The Caltech-UCSD-Birds-200-2011 dataset contains images of 200 bird species.
  • CG-MNIST

    The CG-MNIST dataset is a synthetic dataset based on MNIST, consisting of 60,000 sample pairs of gray-scale images and monochromatic images.
  • CIFAR10, CIFAR100, and SVHN

    CIFAR10, CIFAR100, and SVHN datasets
  • DeiT-Base

    The dataset used in the paper is also used for training and evaluation of the proposed method.
  • MobileNet-V1

    The dataset used in the paper is also used for training and evaluation of the proposed method.