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Sharing the Right Data Right: A Symbiosis with Machine Learning
Sotirios A Tsaftaris1, Hanno Scharr2
1Institute for Digital Communications, School of Engineering, University of Edinburgh, Edinburgh EH9 3FG, UK.
Abstract:
In 2014 plant phenotyping research was not benefiting from the machine learning (ML) revolution because appropriate data were lacking. We report the success of the first open-access dataset suitable for ML in image-based plant phenotyping suitable for machine learning, fuelling a true interdisciplinary symbiosis, increased awareness, and steep performance improvements on key phenotyping tasks.
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