Crowdsourcing Image Analysis for Plant Phenomics to Generate Ground Truth Data for Machine Learning
N. Zhou, Z. D. Siegel, S. Zarecor, N. Lee, D. A. Campbell, C. M. Andorf, D. Nettleton, C. J. Lawrence-Dill, B. Ganapathysubramanian, J. W. Kelly, I. Friedberg
This paper evaluates crowdsourcing for generating high-quality ground truth data for machine learning in plant phenomics, finding that Amazon MTurk workers match expert performance.
bioRxiv · May 30, 2018Plant Biology