VegAnn, Vegetation Annotation of multi-crop RGB images acquired under diverse conditions for segmentation

VegAnn, Vegetation Annotation of multi-crop RGB images acquired under diverse conditions for segmentation

Abstract Applying deep learning to images of cropping systems provides new knowledge and insights in research and commercial applications. Semantic segmentation or pixel-wise classification, of RGB images acquired at the ground level, into vegetation and background is a critical step in the estimati...

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Bibliographic Details
Main Authors: Simon Madec, Kamran Irfan, Kaaviya Velumani, Frederic Baret, Etienne David, Gaetan Daubige, Lucas Bernigaud Samatan, Mario Serouart, Daniel Smith, Chrisbin James, Fernando Camacho, Wei Guo, Benoit De Solan, Scott C. Chapman, Marie Weiss
Format: Article
Language:English
Published: Nature Portfolio 2023-05-01
Series:Scientific Data
Online Access:https://doi.org/10.1038/s41597-023-02098-y

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https://doi.org/10.1038/s41597-023-02098-y

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