10 datasets found

The dataset used in the paper is the Pen-Based Recognition of Handwritten Digits dataset.

The MNIST dataset is a large collection of handwritten digit images.

The P-MNIST is a dataset containing 10 tasks where the first task is the MNIST dataset.

Handwritten digit dataset

The dataset used in the paper is LeNet, a convolutional neural network for image classification.

Binary images are simple — two possible pixel-valued signals with a single channel. The simplicity of binary images has a significant advantage compared to colored and gray...

The MNIST handwritten digit database is a dataset of 60,000 8x8 grayscale images of handwritten digits.

The dataset used in the paper is MNIST variations, which consists of gray scale handwritten digits of size 28x28 with controlled factors of variations such as background noise,...

The MNIST-SVHN-Text dataset is a multi-modal dataset consisting of images, text, and labels.

The MNIST dataset (Lecun et al., 1998), which consists of 60,000 gray-scale images of handwritten digits. Each image has an accompanying label in {0, 1,..., 9}, and is stored as...