Image Classification Datasets
Image classification is a computer vision task that categorizes images into one of several classes. This is an important task in computer vision that is used in many applications, such as self-driving cars, facial recognition, and object recognition.
HorsesOrHumans
PublicCalTechBirds2011
Publiccaltech-101
Publicmnist
PublicOxfordFlowers102
PublicFlowers
PublicAn image classification dataset containing 3670 images of flowers across 5 classes: daisy, dandelion, roses, sunflowers, tulips. The images are of nonstandard sizes and aspect ratios, ranging from 500 x 442 px to 143 x 240 px.
STL10
PublicCelebA
PublicCelebFaces Attributes Dataset (CelebA) is a large-scale face attributes dataset with more than 200K celebrity images, each with 40 attribute annotations. The images in this dataset cover large pose variations and background clutter. CelebA has large diversities, large quantities, and rich annotations.