MNIST Dataset

The MNIST dataset is a large collection of handwritten digit images, primarily used for training and testing machine learning algorithms. It contains 70,000 grayscale images of digits from 0 to 9, each standardized in size and format. Researchers use MNIST to develop and evaluate models that can recognize and classify handwritten numbers, serving as a benchmark for image processing and pattern recognition techniques. Its simplicity and well-organized structure make it an ideal starting point for exploring computer vision and artificial intelligence applications.