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公开(公告)号:US11270150B2
公开(公告)日:2022-03-08
申请号:US16701140
申请日:2019-12-02
发明人: Yen-Lin Chen , Hsiu-Chih Chen , Chieh-Min Chang , Chao-Wei Yu , Meng-Tsan Li
摘要: A computing device divides a training image into a plurality of training blocks, and the training image includes a training object. The computing device calculates, for each of the training blocks, a correct confidence score of the training object covering the training block according to an image-marking data and a confidence-score-translating function, and the image-marking data includes a piece of location information of the training object in the training image. Then, the computing device trains a deep-learning model with the training image, the correct confidence scores and the image-marking data to generate the object-detecting model.