Writing around the world mccool pdf merge

In this paper, we use the VGG model that has 13 convolutional layers. By doing that, the running time for region proposal generation takes around 10 ms, and this framework can maintain a 5 fps detection rate and outperform the state-of-the-art object detection accuracy using very deep models [ 30 ].

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Developing a high-performance fruit detection system that can be rapidly trained with a small number of images using a DCNN that has been pre-trained on a large dataset, such as ImageNet [ 5 ]. We use standard evaluation metrics, precision-recall curves and the F1 score [ 7 ] i.

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Writing around the world mccool pdf merge
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