Crowdsourcing image analysis for plant phenomics to generate ground truth data for machine learning
Fig 1
Overall schema of datasets (boxes) and processes (arrows) that led to the analyses (red).
Top row: The Expert Labeled dataset was used a gold standard to analyze how well the different experimental groups (blue boxes) performed. Bottom row: the labeling from each experimental group was used to train an ML classifier. Each ML classifier was then tested against an expert-labeled test set.