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公开(公告)号:US20230033495A1
公开(公告)日:2023-02-02
申请号:US17756538
申请日:2020-12-17
Inventor: TAICHI SATO , HIDETO MOTOMURA , RYOSUKE GOTO
IPC: G06V10/776
Abstract: Provided is an evaluation method for learning data that facilitates generation of learning data that can contribute to the improvement of the recognition rate of a model. An evaluation method for learning data includes a first evaluation step and a second evaluation step. The first evaluation step is a step of evaluating the performance of learned model machine-learned by using learning data generated by the data extension processing. The second evaluation step is a step of evaluating a parameter on the basis of the evaluation obtained in the first evaluation step and the possible range of the parameter of the data extension processing.