Machine learning datasets are crucial for training and testing machine learning models. They provide the necessary data for algorithms to learn from and improve their accuracy. Below are some popular datasets in the field of machine learning.
MNIST Dataset: A large database of handwritten digits commonly used for training various image processing systems. More information
CIFAR-10 Dataset: A dataset of 60,000 32x32 color images in 10 different classes, such as airplanes, cars, birds, cats, deer, dogs, frogs, horses, ships, and trucks. More information
ImageNet Dataset: A large visual database designed for use in visual object recognition software research. It contains more than 14 million images and is organized into more than 20,000 categories. More information