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MODEL TRAINING METHOD AND SYSTEM FOR AUTOMATICALLY DETERMINING DAMAGE LEVEL OF EACH OF VEHICLE PARTS ON BASIS OF DEEP LEARNING
MODEL TRAINING METHOD AND SYSTEM FOR AUTOMATICALLY DETERMINING DAMAGE LEVEL OF EACH OF VEHICLE PARTS ON BASIS OF DEEP LEARNING
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机译:模型训练方法和系统,用于在深度学习基础上自动确定每种车辆零件的损坏水平
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摘要
The present invention relates to a method and a system for training a model for automatically determining the degree of damage for each vehicle area based on deep learning, which generate a model capable of quickly calculating a consistent and reliable vehicle repair quote by learning so as to automatically extract a picture in which it is possible to determine the degree of damage among accident vehicle pictures by using the Mask R-CNN framework and the Inception V4 network structure based on deep learning, and learning the degree of damage for each type of damage.
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