CPC G06F 18/214 (2023.01) [G06F 18/2413 (2023.01)] | 10 Claims |
1. A learning device comprising a processor configured to:
acquire first training data that is training data regarding a registered category object and second training data regarding an unregistered category object, the registered category object belonging to a registered category which is registered as an identification target, the unregistered category object not belonging to the registered category;
calculate, on a basis of the first training data and the second training data, an identification score indicating a degree of certainty that an object to be identified belongs to the registered category;
calculate, on a basis of the second training data, an unregistered score indicating a degree of certainty that the object to be identified does not belong to the registered category; and
learn an identification model which performs an identification regarding the registered category based on the identification score and the unregistered score.
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