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.
Image classification of 32x32 pixel color images into 100 categories.
Classify flowers into 5 classes: daisy, dandelion, roses, sunflowers, tulips
The Omniglot data set is designed for developing more human-like learning algorithms. It contains 1623 different handwritten characters from 50 different alphabets. Each of the 1623 characters was drawn online via Amazon's Mechanical Turk by 20 different people. Each image is paired with stroke data, a sequences of [x,y,t] coordinates with time (t) in milliseconds.
A dataset for classification of dogs