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10 Best Datasets for Image Classification [2023]

Image classification is a fundamental computer vision task that involves categorizing images into predefined classes or labels. This task is critical for a wide range of applications, including object recognition, scene understanding, and medical diagnosis, among others. In this article, we will be exploring the 10 best datasets for image classification in 2023.

Dataset NameType of ImagesSizePopularityDownload LinkDescription
CIFAR-10Natural Images50,000 Training Images and 10,000 Test ImagesVery Popularhttps://www.cs.toronto.edu/~kriz/cifar.htmlThe CIFAR-10 dataset consists of natural images in 10 classes, such as airplanes, cars, birds, and horses.
CIFAR-100Natural Images50,000 Training Images and 10,000 Test ImagesVery Popularhttps://www.cs.toronto.edu/~kriz/cifar.htmlThe CIFAR-100 dataset is similar to CIFAR-10, but with 100 classes and more fine-grained classification.
MNISTHandwritten Digits60,000 Training Images and 10,000 Test ImagesVery Popularhttp://yann.lecun.com/exdb/mnist/The MNIST dataset is a classic dataset in computer vision and contains hand-written digits.
Fashion-MNISTFashion Images60,000 Training Images and 10,000 Test ImagesPopularhttps://github.com/zalandoresearch/fashion-mnistThe Fashion-MNIST dataset consists of images of fashion items such as shirts, pants, and bags. It is often used as a substitute for MNIST.
ImageNetNatural Images1.4 Million ImagesVery Popularhttp://image-net.org/The ImageNet dataset is a large dataset of natural images, labeled with 1000 categories.
STL-10Natural Images5,000 Training Images and 8,000 Test ImagesPopularhttps://cs.stanford.edu/~acoates/stl10/The STL-10 dataset contains natural images with a low resolution and is often used as a benchmark for unsupervised learning methods.
Caltech-101Object Images9,146 ImagesPopularhttp://www.vision.caltech.edu/Image_Datasets/Caltech101/The Caltech-101 dataset contains images of 101 object categories, such as faces, animals, and vehicles.
Caltech-256Object Images30,607 ImagesPopularhttp://www.vision.caltech.edu/Image_Datasets/Caltech256/The Caltech-256 dataset is an extension of Caltech-101, containing 256 object categories with more images per category.
Sun397Scene Images108,754 ImagesPopularhttp://groups.csail.mit.edu/vision/SUN/The Sun397 dataset contains scene images labeled with 397 scene categories, such as bedrooms, forests, and streets.
Coco 2014Natural Images330,000 ImagesVery Popularhttp://cocodataset.org/#homeThe Coco 2014 dataset is a large-scale dataset of natural images, labeled with 80 object categories and segmented masks.

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