Scab
This dataset includes bands of infrared hyperspectral imaging data of potatoes, and the class is 0 (resp. 1) when scab is absent (resp. present). The dataset has:
- 126 instances
- 256 inputs
- 2 classes
The data are in the file scab.dat. Each input is standarized with mean zero and standard deviation one. The file partitions.dat includes 10 groups of 3 lines, each group associated to a random partition of the available data. The first line in each group contains the indices of the training patterns (50% of the patterns); the second line contains the indices of the validation patterns (25% of the patterns); the third line contains the indices of the test patterns (25% of the patterns).
Reference
@inproceedings{dacal11,
author = "{Dacal-Nieto, A. and Formella, A. and Carri\'on, P. and V\'azquez-Fern\'andez, E. and Fern\'andez-Delgado, M."},
booktitle = "Proc. Int. Conf. on Image Analysis and Processing",
title="{Common scab detection on potatoes using an infrared hyperspectral imaging}",
year = 2011,
series = "{Springer LNCS}",
number = "{6979}",
pages = "{303—312}"
}
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
You can use this dataset on your publication as long as you include a citation to the reference on this page. When including a link to this dataset, please use this page instead of linking the file directly.