BeetleFly: Beetle/Fly shape classification

In moviedo5/fda.tsc: Functional Data Sets for Time Series Classification

Description

It is used for testing contour/image and skeleton-based descriptors. Classes of images vary broadly, and include classes that are similar in shape to one another.

Usage

data(BeetleFly)

Format

The variables are as follows:

• df: data.frame with the following variables:

  • class: Corresponding class level of “BeetleFly” curves with 2 classes:level 1, n=20 and level 2, n=20.

  • sample:Factor variable. In UCR, the first 20 values (sample=train) are used for training sample and the rest of 20 (sample=test) for testing.

• x: fdata class object with with n=40 curves (per row) observed in 512 discretization points (per column).

Details

We have extracted the outlines of these images and mapped them into 1-D series of distances to the centre. Beetle/Fly is the problem of distinguishing between an outline of a beetle and a fly

Source

MPEG-7 CE Shape-1 Part B is a database of binary images developed for testing MPEG-7 shape descriptors, and is available free online: http://www.dabi.temple.edu/~shape/MPEG7/dataset.html and http://timeseriesclassification.com/description.php?Dataset=BeetleFly

moviedo5/fda.tsc documentation built on May 16, 2019, 12:10 a.m.