FashionMNIST

Common entry points for obtaining Fashion-MNIST datasets across platforms.

Fashion-MNIST is a dataset of Zalando's article images—consisting of a training set of 60,000 examples and a test set of 10,000 examples. Each example is a 28x28 grayscale image, associated with a label from 10 classes.

It serves as a direct drop-in replacement for the original MNIST dataset for benchmarking machine learning algorithms, as it shares the same image size and structure of training and testing splits.

Usage

// Load training data
val trainDataset = FashionMNIST.loadTrain()

// Load test data
val testDataset = FashionMNIST.loadTest()

// Iterate over batches
val batchIterator = trainDataset.batchIterator<Int8, Byte>(32)
for (batch in batchIterator) {
    val images = batch.x[0]  // Shape: [32, 1, 28, 28]
    val labels = batch.y     // Shape: [32]
}