MNISTMixed National Institute of Standards and Technology (database of handwritten digits used for training image processing systems)
Copyright 1988-2018, All rights reserved.
References in periodicals archive ?
MNIST database contains 1000 handwritten digit images from 10 (0~9) digits with 100 sample images per digit.
The MNIST data set comprises of a training set of 60000 samples, and a test set of 10,000 samples.
(3) In the case of small input data samples, PNMF-M achieves better SP on MNIST and COIL100 than on Reuters and TDT2 when parallelism for PNMF-M is equal to 2, 4, and 8.
Caption: Figure 1: An example from (a) the Copenhagen chromosomes data set, (b) the MNIST data set, and (c) the USPS data set.
MNIST data set is applied to testify the performance of image recognition method based on FDCA, which consists of 60000 number handwriting images.
The MNIST database of handwritten digits from Yann LeCun's page has a training set of 60,000 examples and a test set of 10,000 examples.
Results on MNIST. The MNIST dataset [34] consists of 70000 28 x 28 grey-scale images belonging to 10 categories of handwritten Arabic numerals from 0 to 9.
Caption: Figure 2: The architecture of traditional MNIST CNNs.
The images in the Hoda dataset are in binary format, while the images in MNIST are in grey level format.
KDD99, Web Spam, Covertype, MNIST, SIAM1, and SIAM11 are obtained from the following data website.
Their neural networks also were the first artificial pattern recognizers to achieve human-competitive or even superhuman performance [10, 11] on important benchmarks such as traffic sign recognition (IJCNN 2012), or the famous MNIST handwritten digits problem of Yann LeCun at NYU.
Key words: OCR, MNIST, recognition, hand-written text, neural network