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Method for selecting learned model, method for generating training data, method for generating learned model, computer and program

机译:选择学习模型的方法,用于生成训练数据的方法,用于生成学习模型的方法,计算机和程序

摘要

A method of selecting a learned model with high accuracy according to an object is provided for object detection. A learned model for machine learning of an image is selected. Each image may contain more than two types of objects. The computer 10 obtains correct data A for detecting each object for a plurality of correct images I3 including a plurality of correct images for learning I5 and a plurality of correct images for verification I6. Trained models M1 to M6 are generated, and verification data B1 to B6 are generated for each type set. The accuracy of the verification data B1 to B6 among the trained models M1 to M6 for each type set is determined for each type of object. Select the one with the highest price. [Selection] Figure 9
机译:提供一种用于根据对象选择高精度的学习模型的方法。选择用于机器学习图像的学习模型。每个图像可能包含两种以上的对象。计算机10获得用于检测多个正确图像I3的每个对象的正确数据A,该多个正确图像I3包括用于学习的多个正确图像I5和用于验证的多个正确图像I6。生成训练模型M1至M6,并且针对每个类型集生成验证数据B1至B6。针对每种类型的对象确定针对每种类型集的训练模型M1至M6中的验证数据B1至B6的准确性。选择价格最高的一个。 [选择]图9

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