Patent ID: 11922317
Assignee: JVCKENWOOD CORPORATION
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A learning data generation apparatus comprising:
an object extraction unit configured to extract an object image from an image;
a classification evaluation unit configured to evaluate the object image based on a learned model and to thereby calculate reliability indicating a degree of possibility that the object image is classified as a candidate label;
a classification determination unit configured to, if the reliability is smaller than a first threshold and equal to or larger than a second threshold which is smaller than the first threshold, associate a temporary label different from the candidate label with the object image; and
a learning data generation unit configured to generate learning data based on the object image that is associated with the temporary label, wherein
the classification determination unit is further configured to associate a first temporary label that is different from the candidate label with the object image if the reliability is equal to or larger than an intermediate threshold which is smaller than the first threshold and larger than the second threshold, and smaller than the first threshold, and associate a second temporary label different from the first temporary label with the object image if the reliability is equal to or larger than the second threshold and smaller than the intermediate threshold.