7/31/2023 0 Comments S and r imagesThe average precision of the Faster R-CNN-based kiwifruit detector was 89.3%. A faster R-CNN was trained end-to-end by using back-propagation and stochastic gradient descent techniques with Zeiler and Fergus network (ZFNet). Sub-images were used as network training and validation samples. Under different lighting conditions, 2,100 sub-images with 784×784 pixels were prepared by random sub-sampling from 700 field captured images with a pixel resolution of 2352×1568 pixels. A kiwifruit detection system for field images was developed based on the deep convolutional neural network, which has a good robustness against the subjectivity and limitation of the features selected artificially.
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