mfeat-pixel
OpenML dataset with id 40979
No author found.
Full work available at URL: https://api.openml.org/data/v1/download/18142224/mfeat-pixel.arff
Upload date: 3 December 2017
Dataset Characteristics
Number of classes: 10
Number of features: 241 (numeric: 240, symbolic: 1 and in total binary: 0 )
Number of instances: 2,000
Number of instances with missing values: 0
Number of missing values: 0
Author: Robert P.W. Duin, Department of Applied Physics, Delft University of Technology Source: UCI - 1998 Please cite: UCI
Multiple Features Dataset: Pixel One of a set of 6 datasets describing features of handwritten numerals (0 - 9) extracted from a collection of Dutch utility maps. The maps were scanned in 8 bit grey value at density of 400dpi, scanned, sharpened, and thresholded. Corresponding patterns in different datasets correspond to the same original character. 200 instances per class (for a total of 2,000 instances) have been digitized in binary images.
Using this dataset, sampled versions of the original images may be obtained (15 x 16 pixels).
Attribute Information
__Only change w.r.t. version 1: variable format transformed to numeric.__
The mfeatures represent 240 (15 x 16) pixel averages in 2 x 3 windows.
Relevant Papers
A slightly different version of the database is used in M. van Breukelen, R.P.W. Duin, D.M.J. Tax, and J.E. den Hartog, Handwritten digit recognition by combined classifiers, Kybernetika, vol. 34, no. 4, 1998, 381-386.
The database as is is used in:
A.K. Jain, R.P.W. Duin, J. Mao, Statistical Pattern Recognition: A Review, IEEE Transactions on Pattern Analysis and Machine Intelligence archive, Volume 22 Issue 1, January 2000
This page was built for dataset: mfeat-pixel
