MNIST

Dataset Card for MNIST Dataset Summary The MNIST dataset consists of 70,000 28x28 black-and-white images of handwritten digits extracted from two NIST databases. There are 60,000 images in the training dataset and 10,000 images in the validation dataset, one class per digit so a total of 10 classes, with 7,000 images (6,000 train images and 1,000 test images) per class. Half of the image were drawn by Census Bureau employees and the other half by high school students… See the full description on the dataset page: https://huggingface.co/datasets/ylecun/mnist.

Papers using MNIST (5)

Image denoising and restoration with CNN-LSTM Encoder Decoder with Direct Attention2018 · 11 citesJointly Aligning Millions Of Images With Deep Penalised Reconstruction Congealing2019 · 6 citesOOD Augmentation May Be At Odds With Open-set Recognition2022 · 2 citesUnsupervised Latent Space Translation Network2020 · 1 citesCoswin: Convolution Enhanced Hierarchical Shifted Window Attention For Small-scale Vision2025