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CLASSIFICATION OF IMAGES BASED ON CONVOLUTION NEURAL NETWORKS
CLASSIFICATION OF IMAGES BASED ON CONVOLUTION NEURAL NETWORKS
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机译:基于卷积神经网络的图像分类
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摘要
Systems and methods are described for image classification. An example method may comprise receiving an image comprising an object of interest and determining, based on a first convolution neural network, a first classification of the image. The first convolution neural network may be optimized for a first factor. The method may comprise determining, based on a second convolution neural network, a first classification of the image. The second convolution neural network may be optimized for a second factor. The method may comprise determining, based on the first classification and the second classification, a characteristic of the object of interest. The method may comprise providing the characteristic of the object of interest.
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