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Publikováno v:
2021 5th International Conference on Computer, Communication and Signal Processing (ICCCSP).
In this paper, an attempt is addressed towards accurate vegetable image classification. A dataset consisting of 21,000 images of 15 classes is used for this classification. Convolutional neural network, a deep learning algorithm is the most efficient