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AssigneeHamamatsu Photonics K.K.
InventorsTatsuya ONISHI, Satoshi TSUCHIYA, Tomochika TAKESHIMA, Takafumi HIGUCHI, Akari KATO
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A model usage evaluation method for evaluating use of an inference model that is generated by machine learning training and inputs information based on an image includes: a target image feature amount acquisition step of acquiring a feature amount of a target image used as an input to the inference model; a training image feature amount acquisition step of acquiring a feature amount of a training image used for training for generating the inference model; and an evaluation step of comparing the feature amount of the target image acquired in the target image feature amount acquisition step with the feature amount of the training image acquired in the training image feature amount acquisition step to evaluate the use of the inference model for the target image.
A model usage evaluation method for evaluating use of an inference model that is generated by machine learning training and inputs information based on an image, the model usage evaluation method comprising:
A model usage evaluation system for evaluating use of an inference model that is generated by machine learning training and inputs information based on an image, the model usage evaluation system comprising circuitry configured to:
A non-transitory computer-readable storage medium storing a model usage evaluation program causing a computer to operate as a model usage evaluation system for evaluating use of an inference model that is generated by machine learning training and inputs information based on an image, the model usage evaluation program causing the computer to:
Dependencies are inferred from the claim text.