660 datasets found

Groups: Image Classification Organizations: No Organization

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  • VisDA-2017

    VisDA-2017 is a simulation-to-real dataset with two extremely distinct domains: Synthetic renderings of 3D models and Real collected from photo-realistic or real-image datasets.

  • MNIST and FashionMNIST Datasets

    The MNIST and FashionMNIST datasets are used for image classification tasks.

  • ImageNet Dataset

    Object recognition is arguably the most important problem at the heart of computer vision. Recently, Barbu et al. introduced a dataset called ObjectNet which includes objects in...

  • COCO Dataset

    The COCO dataset is a large-scale dataset for object detection, semantic segmentation, and captioning. It contains 80 object categories and 1,000 image instances per category,...

  • MNIST-SVHN-Text dataset

    The MNIST-SVHN-Text dataset is a multi-modal dataset consisting of images, text, and labels.

  • Data-Free Quantization through Weight Equalization and Bias Correction

    Data-free quantization through weight equalization and bias correction.

  • ZeroQ: A Novel Zero Shot Quantization Framework

    Quantization is a promising approach for reducing the inference time and memory footprint of neural networks. However, most existing quantization methods require access to the...

  • ResNet50 dataset

    The dataset used in this paper is the ResNet50 dataset, a deep neural network trained on the ImageNet dataset.

  • ImageNet-Dogs15

    The dataset used in the paper is ImageNet-Dogs15, a subset of ImageNet containing 15 dog breeds.

  • CIFAR-10 Dataset

    The dataset used in this paper is a neural network, and the authors used it to test the performance of their lookahead pruning method.

  • CUB-200

    CUB-200 is a fine-grained image classification dataset containing high resolution images of 200 different bird species.

  • Stable Diffusion Wordnet Dataset

    A synthetic image dataset generated with Stable Diffusion using the Wordnet taxonomy and the definitions of concepts it contains.

  • Tiny Images

    Tiny Images dataset is a large dataset of images, each with a small size.

  • Privacy-Preserving Image Classification Using Vision Transformer

    Privacy-preserving image classification method that uses ViT and a block-wise encryption method

  • OpenImages

    Large-scale vision-and-language models trained on curated and web-scrapped data have led to significant improvements over task-specific models when transferred to downstream...

  • LAION

    The dataset used in the paper is not explicitly described, but it is mentioned that it is a large-scale captioned image dataset (LAION) used to train the Stable Diffusion model.

  • ILSVRC2012 dataset

    The dataset used in the paper is the ILSVRC2012 dataset, which contains images of size 224x224.

  • ETH-Zurich dataset

    The ETH-Zurich dataset contains a collection of 1000 examples of images, each with a label indicating whether the image contains a dog or not.

  • DeepFashion2

    DeepFashion2 is a large-scale fashion image benchmark with comprehensive tasks and annotations. It contains 491K images, each of which is richly labeled with style, scale,...

  • DomainNet

    The dataset used in the paper is a cross-domain dataset, consisting of six domains: Real, Painting, Sketch, Clipart, Infograph, and Quickdraw. Each domain contains 345 object...