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

Claim 4:
5. A learning data generation method comprising:
extracting an object image from an image;
evaluating the object image based on a learned model and calculating reliability indicating a degree of possibility that the object image is classified as a candidate label;
associating a temporary label different from the candidate label with the object image 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; and
generating learning data based on the object image that is associated with the temporary label, wherein
the associating further comprises associating 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 associating 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.