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1 article for “YOLO v3, mask RCNN, U-net, modified U-net, performance, segmentation of grape cluster”
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Deep Learning for Grape Cluster Segmentation
Abstract: Grape cluster identification and its segmentation for the purpose of vineyard total weight prediction tasks indicate the need for more accurate segmentation atomization. The Grape Cluster Segmentation challenge is supplied as an answer the usage of deep neural community fashions including YOLO v3, Mask RCNN, and U-net. In the sense of a modified U-net model for segmenting grapes using training and testing strategies, this contribution contributes to the validation of …
Published in Recent Trends in Programming languages · Vol. 8, Issue 2, 2021 · pp. 23–32 Read article