18 citations · 29 across the 2 of their papers we have counts for
5 papers · 1 filter
Self-supervised Learning for Panoptic Segmentation of Multiple Fruit Flower Species
Abubakar Siddique, Amy Tabb, Henry Medeiros
Convolutional neural networks trained using manually generated labels are commonly used for semantic or instance segmentation. In precision agriculture, automated flower detection…
FreeLabel: A Publicly Available Annotation Tool based on Freehand Traces
Philipe A. Dias, Zhou Shen, Amy Tabb +1
Large-scale annotation of image segmentation datasets is often prohibitively expensive, as it usually requires a huge number of worker hours to obtain high-quality results. Abundan…
Multispecies fruit flower detection using a refined semantic segmentation network
Philipe A. Dias, Amy Tabb, Henry Medeiros
In fruit production, critical crop management decisions are guided by bloom intensity, i.e., the number of flowers present in an orchard. Despite its importance, bloom intensity is…
Segmenting root systems in X-ray computed tomography images using level sets
Amy Tabb, Keith E. Duncan, Christopher N. Topp
The segmentation of plant roots from soil and other growing media in X-ray computed tomography images is needed to effectively study the root system architecture without excavation…
Apple Flower Detection using Deep Convolutional Networks
Philipe A. Dias, Amy Tabb, Henry Medeiros
To optimize fruit production, a portion of the flowers and fruitlets of apple trees must be removed early in the growing season. The proportion to be removed is determined by the b…