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METHOD AND SYSTEM FOR PREDICTING GARMENT ATTRIBUTES USING DEEP LEARNING
METHOD AND SYSTEM FOR PREDICTING GARMENT ATTRIBUTES USING DEEP LEARNING
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机译:基于深度学习的服装属性预测方法和系统
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摘要
There is provided a computer implemented method for predicting garment or accessory attributes using deep learning techniques, comprising the steps of: (i) receiving and storing one or more digital image datasets including images of garments or accessories; (ii) training a deep model for garment or accessory attribute identification, using the stored one or more digital image datasets, by configuring a deep neural network model to predict (a) multiple-class discrete attributes; (b) binary discrete attributes, and (c) continuous attributes, (iii) receiving one or more digital images of a garment or an accessory, and (iv) extracting attributes of the garment or the accessory from the one or more received digital images using the trained deep model for garment or accessory attribute identification. A related system is also provided.
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