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3s vs 7s MNIST problem
The 3s vs 7s MNIST problem is a classic dataset in machine learning. It consists of 28x28 grayscale images of handwritten digits, with 3s and 7s in the images. -
Optical Recognition of Handwritten Digits
The dataset used in this paper is the handwritten digits dataset. -
EMNIST-digits
The EMNIST-digits dataset is a collection of handwritten digit images, each labeled with its corresponding digit value. -
FEMNIST dataset
Mobile crowdsensing has gained significant attention in recent years and has become a critical paradigm for emerging Internet of Things applications. The sensing devices... -
Ex8a Dataset
The dataset consists of 1000 images of 28x28 grayscale images of handwritten digits. -
Stanford CS229 Dataset
The Stanford CS229 dataset consists of 60,000 images of 28x28 grayscale images of handwritten digits. -
MNIST and OMNIGLOT datasets
The MNIST dataset is a large dataset of handwritten digits, and the OMNIGLOT dataset is a large dataset of handwritten characters. -
MNIST database of handwritten digits
The MNIST handwritten digit database is a dataset of 60,000 training and 10,000 test examples of handwritten digit images. -
MNIST and MNIST-rot
The MNIST dataset is a large dataset of handwritten digits, and the MNIST-rot dataset is a rotated version of the MNIST dataset. -
MNIST and USPS datasets
The MNIST dataset is a collection of 70,000 28x28 grayscale images of handwritten digits, and the USPS dataset is a collection of 9,298 16x16 grayscale images of handwritten... -
Street View House Numbers
The street view house number recognition task involves transcribing an image with house numbers to a string of digits. -
infiMNIST Dataset
The infiMNIST dataset is a large collection of images of handwritten digits with infinite transformations.