Article

Learning from Synthetic Dataset for Crop Seed Instance Segmentation

2019-12-06

Abstract excerpt

Incorporating deep learning in the image analysis pipeline has opened the possibility of introducing precision phenotyping in the field of agriculture. However, to train the neural network, a sufficient amount of training data must be prepared, which requires a time-consuming manual data annotation process that often becomes the limiting step. Here, we show that an instance segmentation neural network (Mask R-CNN)...

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Literature Corpus work: 3f1cc05d-3bd7-58a9-bd2a-5ef15e1457f6
DOI: 10.1101/866921

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