Wheat spikelet dataset
School of Computer Science @ University of Nottingham
|Number of images||500||Ground-truth||yes|
Deep Learning for Multi-task Plant PhenotypingMichael P. Pound, Jonathan A. Atkinson, Darren M. Wells, Tony P. Pridmore, Andrew P. French2017 IEEE International Conference on Computer Vision Workshops (ICCVW), 2018 View paper
The Wheat 2017 dataset features approximately 500 images of mature wheat plants, grown in pots and captured in front of a black screen. The dataset includes annotations for all visible ears and spikelets, as well as classification on whether a given plant has an awned phenotype.