Data for: NOVEL DATA AUGMENTATION STRATEGIES TO BOOST SUPERVISED SEGMENTATION OF PLANT DISEASES

Published: 30 Aug 2019 | Version 1 | DOI: 10.17632/ztrgn2rbrj.1

Description of this data

This is the unnannotated dataset of IR images of apple plants inoculated by scab used in this article. The annotated dataset will be made public further on.

Experiment data files

This data is associated with the following publication:

Novel data augmentation strategies to boost supervised segmentation of plant disease

Published in: Computers and Electronics in Agriculture

Latest version

  • Version 1

    2019-08-30

    Published: 2019-08-30

    DOI: 10.17632/ztrgn2rbrj.1

    Cite this dataset

    DOUARRE, Clément; Rousseau, David; Tougne, Laure; Gelibert, Anthony; Crispim-Junior, Carlos F. (2019), “Data for: NOVEL DATA AUGMENTATION STRATEGIES TO BOOST SUPERVISED SEGMENTATION OF PLANT DISEASES”, Mendeley Data, v1 http://dx.doi.org/10.17632/ztrgn2rbrj.1

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Categories

Machine Learning

Licence

CC BY NC 3.0 Learn more

The files associated with this dataset are licensed under a Attribution-NonCommercial 3.0 Unported licence.

What does this mean?

You are free to adapt, copy or redistribute the material, providing you attribute appropriately and do not use the material for commercial purposes.

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