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Dataset (Classification)

OSULeaf

API-ReferenzQuellcode

OSULeaf time series classification problem.

Example of a univariate problem with equal-length series.

Notes

Dimensionality: univariate Series length: 427 Train cases: 200 Test cases: 242 Number of classes: 6

The OSULeaf dataset consists of one-dimensional outlines of leaves. The series were obtained by color image segmentation and boundary extraction (in the anti-clockwise direction) from digitized leaf images of six classes: Acer Circinatum, Acer Glabrum, Acer Macrophyllum, Acer Negundo, Quercus Garryana, and Quercus Kelloggii for the MSc thesis “Content-Based Image Retrieval: Plant Species Identification” by A. Grandhi.

Dataset details: http://timeseriesclassification.com/description.php?Dataset=OSULeaf

Examples

>>> from sktime.datasets.classification import OSULeaf
>>> X, y = OSULeaf().load("X", "y")

Schnellstart

python
from sktime.datasets.classification.osuleaf import OSULeaf

estimator = OSULeaf(return_mtype='pd-multiindex')

Beispiele

>>> from sktime.datasets.classification import OSULeaf
>>> X, y = OSULeaf (). load ("X", "y")