| CPC G06V 10/7747 (2022.01) [G06V 10/7788 (2022.01)] | 19 Claims |
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1. A generation method executed by a training data generation device, comprising:
acquiring first correct answer data that is correct answer data with respect to each training image of a training image group, the training image group including plural training images to be given the correct answer data, the training image group being divided into plural image subgroups, the first correct answer data being generated in a different situation for each of the plural image subgroups;
generating a discriminator with respect to the each of the plural image subgroups, the discriminator being learned based on the each of the plural image subgroups and the first correct answer data corresponding to the each of the plural image subgroups;
acquiring a discrimination result outputted by the discriminator for each of the plural training images by inputting the each of the plural training images to the discriminator which is generated based on at least one image subgroup other than an image subgroup to which the each of the training images belongs; and
generating second correct answer data for the each of the plural training images based on the discrimination result and the first correct answer data.
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