30 datasets found

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.

The dataset used in this paper is the handwritten digits dataset.

The MNIST-1D dataset is a 1-dimensional version of the classic MNIST handwritten digits dataset.

The dataset used for the Drawing out of Distribution (DooD) model, which consists of stroke-based images of handwritten Japanese characters.

The EMNIST-digits dataset is a collection of handwritten digit images, each labeled with its corresponding digit value.

Mobile crowdsensing has gained significant attention in recent years and has become a critical paradigm for emerging Internet of Things applications. The sensing devices...

The LeNet-5 dataset is a large collection of handwritten digit images.

The dataset consists of 1000 images of 28x28 grayscale images of handwritten digits.

The Stanford CS229 dataset consists of 60,000 images of 28x28 grayscale images of handwritten digits.

The DenseNet dataset is a dataset for image recognition on handwritten digits composed of 60,000 training data and 10,000 test images.

The MNIST dataset is a large dataset of handwritten digits, and the OMNIGLOT dataset is a large dataset of handwritten characters.

The F-MNIST dataset is a dataset of handwritten digits.

The MNIST handwritten digit classification dataset is used to evaluate the proposed method.

notMNIST is a dataset of 60,000 28x28 grayscale images in 10 classes, with 6,000 images per class.

The MNIST handwritten digit database is a dataset of 60,000 training and 10,000 test examples of handwritten digit images.

The MNIST dataset is a large dataset of handwritten digits, and the MNIST-rot dataset is a rotated version of the MNIST dataset.

MNIST-ADD dataset is a dataset of handwritten digits with added noise.

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...

The street view house number recognition task involves transcribing an image with house numbers to a string of digits.

The infiMNIST dataset is a large collection of images of handwritten digits with infinite transformations.