Abstract:
: Classification is generally considered is one of the most popular topics in remote sensing , is considered to be the classification of images at a large size is labor-intensive and time-consuming task if performed manually. A large number of methods have been proposed to deal with the problem of data classification for large size. In this paper we present the classification of three colors (types) of onions using the environment of Google Colaboratory which dependent for accelerating deep learning for computer vision and other GPU-centric applications .Using a public dataset of 1333 images of onions, we trained a deep convolutional neural network to identify three types (White, Red Peeled, and Red) Onion. The trained model achieved an accuracy of 99.99% of test set, demonstrating the feasibility of this approach.
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