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Detecting Full Stem Instances as well as TomotoesInstances of and Leaves

(Under Construction) This project contains the code used for performing semantic segmentation and instance detection of tomatoes, leaves, and stems for the University of Guelph's GIGAS project. The code is based on Mathew Veres' original code for tomato instance detection.

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Using deep learning to detect full stem instances in heavily occluded greenhouse images. The code also detects tomatoes and leaves in those images.

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