fashion-mnist
Fashion-MNIST provides a modern alternative to the traditional MNIST dataset, featuring 28x28 grayscale images of Zalando's clothing articles across 10 categories. This dataset includes 60,000 training and 10,000 testing samples, making it suitable for rigorous testing of machine learning models. Unlike MNIST, Fashion-MNIST is designed to challenge algorithms with more complex image classification tasks. Researchers can easily integrate this dataset using popular libraries like TensorFlow and PyTorch, supporting the creation of more robust machine learning solutions.
