Image Classification - Groups

MNIST dataset for handwritten digits

The MNIST dataset is a collection of images of handwritten digits, with size n = 70,000 and D = 784.

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DenseNet

The DenseNet dataset is a dataset for image recognition on handwritten digits composed of 60,000 training data and 10,000 test images.

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Very Deep Convolutional Networks for Large-Scale Image Recognition

The dataset consists of 60,000 images of objects in 200 categories, with 300 images per category.

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ImageNet2012

The dataset used in the paper for attention-oriented data analysis and attention-based adversarial defense.

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ImageNet Large Scale Visual Recognition Challenge (ILSVRC)

The ImageNet Large Scale Visual Recognition Challenge (ILSVRC) dataset is a large-scale image classification dataset containing over 14 million images from 21,841 categories.

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LSUN Bedrooms

The dataset used in the paper is the LSUN bedrooms dataset, a large-scale image dataset.

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mini-ImageNet

The mini-ImageNet dataset is a subset of the ImageNet dataset, containing 60,000 images from 100 classes.

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PASCAL VOC Dataset

The PASCAL VOC dataset contains 20 classes, including person, animal, vehicle, and indoor, with 9,963 images containing 24,640 annotated objects.

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CIFAR10 dataset

The dataset used in this paper is the CIFAR10 dataset, which contains 60,000 32x32 color images in 10 classes, with 6,000 images per class.

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Sprites dataset

The dataset consists of binary images of sprites with variations in the shape (oval, square, and heart) and four geometric factors: scale (6 variation modes), rotation (40), and...

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ImageNet: A Large-Scale Hierarchical Image Database

The ImageNet dataset is a large-scale image database that contains over 14 million images, each labeled with one of 21,841 categories.

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Street View House Numbers

The street view house number recognition task involves transcribing an image with house numbers to a string of digits.

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Places

The dataset used in the paper is Places, a large dataset of 400k pairs of images from the Places 205 dataset and corresponding spoken audio captions.

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ResNet-18

Training neural networks on image datasets generally require extensive experimentation to find the optimal learning rate regime.

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Imagenet

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

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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...

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PASCAL VOC 2007

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

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Reading digits in natural images with unsupervised feature learning

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

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SVHN Dataset

The dataset used in the paper is a collection of images from the SVHN dataset, along with labels. The dataset is used for image classification.

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ILSVRC

ILSVRC is a large-scale image dataset containing over 1.2 million images across 1,000 classes.

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29 datasets found