716 datasets found

Groups: Image Classification Formats: JSON

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  • 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...

  • ImageNet-10 Dataset

    The ImageNet-10 dataset is a subset of the ImageNet-1K dataset, containing images from 10 classes.

  • MS-COCO

    Large scale datasets [18, 17, 27, 6] boosted text conditional image generation quality. However, in some domains it could be difficult to make such datasets and usually it could...

  • LSUN

    The dataset used for training and validation of the proposed approach to combine semantic segmentation and dense outlier detection.

  • Visual Domain Decathlon Benchmark

    The Visual Domain Decathlon Benchmark consists of 10 image classification tasks that have been explicitly selected to represent different domains.