Research Dataset Info: CIFAR 10/100
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The CIFAR-10 dataset (Canadian Institute For Advanced Research) is a collection of photographs used to train machine learning and computer vision algorithms. It's one of the most used datasets for machine learning research. The CIFAR-10 dataset comprises 60,000 32x32 colour pictures divided into ten categories. Airplanes, vehicles, birds, cats, deer, dogs, frogs, horses, ships, and trucks are represented by the ten various classes. Each class has 6,000 photos.