| CPC G06V 10/82 (2022.01) [G06T 7/0004 (2013.01); G06V 10/7747 (2022.01); G06V 10/776 (2022.01); G06T 2207/20081 (2013.01); G06T 2207/30108 (2013.01)] | 4 Claims |
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1. A learning processing apparatus for constructing a neural network model for use in inspection of an inspection target based on image data obtained by capturing an image of the inspection target and the neural network model,
the learning processing apparatus comprising:
a learning unit configured to execute learning processing under predetermined learning conditions based on a list of image data including a plurality of learning images to construct a neural network model,
wherein the learning unit is configured to assign, when the list of image data or the learning conditions is at least partially changed, unique model identification data to a combination of the list of image data and the learning conditions in which the list of image data or learning conditions is changed and embed the unique model identification data with respect to a neural network model constructed with the list of image data and the learning conditions, thereby embedding unique model identification data in the neural network model, each time the learning unit constructs the neural network model.
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