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MACHINE LEARNING DATA GENERATION DEVICE, MACHINE LEARNING DATA GENERATION METHOD, PROGRAM, AND LEARNING DATA SET

机译:机器学习数据生成设备,机器学习数据生成方法,程序和学习数据集

摘要

For the purpose of learning a machine learning model in a gas leakage detection device, the present invention can efficiently generate a large amount of learning data under various conditions and contribute to learning accuracy improvement. This machine learning data generation method comprising a step for converting three-dimensional gas distribution image data indicating an existence range of a gas leaking from a gas leakage source into a three-dimensional space into two-dimensional gas distribution image data observed from a prescribed view point position and a step for generating, as training data for machine learning, the two-dimensional gas distribution image data and prescribed characteristic information about the gas.
机译:为了在气体泄漏检测装置中学习机器学习模型,本发明可以在各种条件下有效地产生大量的学习数据,并有助于学习准确性改进。 该机器学习数据生成方法包括将三维气体分布图像数据转换为从储气源泄漏到从规定视图观察到的二维气体分布图像数据的三维空间的存在范围的步骤 点位置和生成步骤,作为机器学习的训练数据,二维气体分布图像数据和关于气体的规定特征信息。

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