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Database of grayscale handwritten digits. 60,000 image, label classification 1994 [1] LeCun et al. Extended MNIST: Database of grayscale handwritten digits and letters. 810,000 image, label classification 2010 [2] NIST 80 Million Tiny Images: 80 million 32×32 images labelled with 75,062 non-abstract nouns. 80,000,000 image, label 2008 [3 ...
The set of images in the MNIST database was created in 1994. Previously, NIST released two datasets: Special Database 1 (NIST Test Data I, or SD-1); and Special Database 3 (or SD-2). They were released on two CD-ROMs. SD-1 was the test set, and it contained digits written by high school students, 58,646 images written by 500 different writers.
A database containing detailed information, or metadata, about each file that makes up each of those software packages; A smaller public dataset containing the most widely used metadata for each file in the collection that is published and updated quarterly. This is called the Reference Data Set.
IMFP data can be collected from the National Institute of Standards and Technology (NIST) Electron Inelastic-Mean-Free-Path Database [13] or the NIST Database for the Simulation of Electron Spectra for Surface Analysis (SESSA). [14] The data contains IMFPs determined by EPES for energies below 2 keV.
In 2008, NIST withdrew the FIPS 55-3 database. [7] This database included 5-digit numeric place codes for cities, towns, and villages, or other centers of population in the United States. The codes were assigned alphabetically to places within each state, and as a result changed frequently in order to maintain the alphabetical sorting.
The NIST Dictionary of Algorithms and Data Structures [1] is a reference work maintained by the U.S. National Institute of Standards and Technology. It defines a large number of terms relating to algorithms and data structures. For algorithms and data structures not necessarily mentioned here, see list of algorithms and list of data structures.
The National Vulnerability Database (NVD) is the U.S. government repository of standards-based vulnerability management data represented using the Security Content Automation Protocol (SCAP). This data enables automation of vulnerability management, security measurement, and compliance.
The BEE was the FRVT 2006 infrastructure. It allowed the experimenter to focus on the experiment by simplifying test data management, experiment configuration, and the processing of results. The FRVT 2006 was sponsored by multiple U.S. Government agencies and was conducted and managed by the National Institute of Standards and Technology (NIST).