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US Postal Service dataset
The US Postal Service (USPS) dataset is a collection of 9298 handwritten digits automatically scanned from envelopes by the US Postal Service. -
Pen-Based Recognition of Handwritten Digits
The dataset used in the paper is the Pen-Based Recognition of Handwritten Digits dataset. -
The MNIST dataset
The MNIST dataset is a large collection of handwritten digit images. -
Optical Recognition of Handwritten Digits
The dataset used in this paper is the handwritten digits dataset. -
MNIST Handwritten Digit Dataset
Handwritten digit dataset -
USPS dataset
The USPS dataset consists of 9298 images of handwritten digits 0-9 (10 classes) of 16x16 pixels in gray scale. -
MNIST and CIFAR-10 datasets
The MNIST and CIFAR-10 datasets are used to test the theory suggesting the existence of many saddle points in high-dimensional functions. -
Bengali Handwritten Digit Dataset
A dataset of 70000 handwritten samples of Bengali numerals for recognition using artificial neural network based architecture pre-trained by a stacked denoising autoencoder. -
MNIST handwritten digit database
The MNIST handwritten digit database is a dataset of 60,000 8x8 grayscale images of handwritten digits. -
The MNIST Database of Handwritten Digits
The MNIST dataset consists of 60,000 training samples and 10,000 test samples. Each sample is a 28×28 pixel grayscale handwritten digital image. -
MNIST Variations
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,... -
MNIST-SVHN-Text dataset
The MNIST-SVHN-Text dataset is a multi-modal dataset consisting of images, text, and labels. -
MNIST Dataset
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...
