Statlog (Vehicle Silhouettes) Dataset

The purpose is to classify a given silhouette as one of four types of vehicle, using a set of features extracted from the silhouette. The vehicle may be viewed from one of many different angles. This dataset comes from the Turing Institute, Glasgow, Scotland.

Data and Resources

Additional Info

Field Value
Source Drs. Pete Mowforth and Barry Shepherd, Turing Institute
Maintainer Alistair Sutherland
Associated Tasks Classification
Collection Period 1986-87
Number of Instances 946
Package Description Attributes: COMPACTNESS (average perim)**2/area, CIRCULARITY (average radius)**2/area, DISTANCE CIRCULARITY area/(av.distance from border)**2, RADIUS RATIO (max.rad-min.rad)/av.radius, PR.AXIS ASPECT RATIO (minor axis)/(major axis), MAX.LENGTH ASPECT RATIO (length perp. max length)/(max length), SCATTER RATIO (inertia about minor axis)/(inertia about major axis), ELONGATEDNESS area/(shrink width)**2, PR.AXIS RECTANGULARITY area/(pr.axis length*pr.axis width), MAX.LENGTH RECTANGULARITY area/(max.length*length perp. to this), SCALED VARIANCE (2nd order moment about minor axis)/area ALONG MAJOR AXIS, SCALED VARIANCE (2nd order moment about major axis)/area ALONG MINOR AXIS, SCALED RADIUS OF GYRATION (mavar+mivar)/area, SKEWNESS ABOUT (3rd order moment about major axis)/sigma_min**3 MAJOR AXIS, SKEWNESS ABOUT (3rd order moment about minor axis)/sigma_maj**3 MINOR AXIS, KURTOSIS ABOUT (4th order moment about major axis)/sigma_min**4 MINOR AXIS, KURTOSIS ABOUT (4th order moment about minor axis)/sigma_maj**4 MAJOR AXIS, HOLLOWS RATIO (area of hollows)/(area of bounding polygon), Where sigma_maj**2 is the variance along the major axis and sigma_min**2 is the variance along the minor axis, and area of hollows= area of bounding poly-area of object. The area of the bounding polygon is found as a side result of the computation to find the maximum length. Each individual length computation yields a pair of calipers to the object orientated at every 5 degrees. The object is propagated into an image containing the union of these calipers to obtain an image of the bounding polygon. NUMBER OF CLASSES: 4 OPEL, SAAB, BUS, VAN.
Dataset has missing values False