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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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