公开(公告)号：US20230230342A1

公开(公告)日：2023-07-20

申请号：US18001776

申请日：2020-07-03

Applicant: Sony Interactive Entertainment Inc.

Inventor： Shogo Sato

IPC: G06V10/44 ,  G06V10/74 ,  G06V10/774

CPC classification number: G06V10/44 ,  G06V10/761 ,  G06V10/774

Abstract: A positive-example training data storage section stores training data indicating a feature amount corresponding to a sample image obtained by photographing a sample. A sample image acquiring section acquires a new sample image obtained by newly photographing the sample. A feature amount extracting section generates, on the basis of the new sample image, feature amount data indicating a feature amount corresponding to the new sample image. A storage control section has control, on the basis of the difference between the feature amount indicated by the training data stored in the positive-example training data storage section and the feature amount indicated by the feature amount data, to determine whether to cause the positive-example training data storage section to store the feature amount data as training data, or to discard the feature amount data.

公开(公告)号：US12211255B2

公开(公告)日：2025-01-28

申请号：US18001804

申请日：2020-07-03

Applicant: Sony Interactive Entertainment Inc.

Inventor： Shogo Sato ,  Hiroyuki Segawa

IPC: G06T19/00 ,  G06V10/764 ,  G06V10/774

Abstract: A sample image obtaining section repetitively obtains a sample image generated by photographing a given sample by a photographing unit. A feature quantity extracting section generates feature quantity data corresponding to the sample image, in reference to the sample image. The feature quantity extracting section classifies each of a plurality of pieces of feature quantity data into either training data or evaluation data. An evaluation learning section performs learning of an evaluation discriminator by using a plurality of pieces of the training data. A photographing necessity/unnecessity determining section determines necessity/unnecessity of additional photographing of the sample by using the evaluation discriminator in which the learning using the plurality of pieces of the training data has already been performed and a plurality of pieces of the evaluation data. A notifying section gives a notification regarding a result of the determination of the necessity/unnecessity of additional photographing of the sample.

公开(公告)号：US20250165862A1

公开(公告)日：2025-05-22

申请号：US18841737

申请日：2022-03-15

Applicant: Sony Interactive Entertainment Inc.

Inventor： Shogo Sato ,  Tetsugo Inada ,  Hiroyuki Segawa

IPC: G06N20/00

Abstract: The accuracy of a machine learning model is improved while the maintenance of training data is facilitated. An information processing system outputs, on the basis of an output of a machine learning model being trained with training data when input data is received to the machine learning model as an input, reliability of the output for the input data, generates new training data on the basis of the input data in a case where the reliability satisfies a predetermined condition, and trains the machine learning model with the new training data.

公开(公告)号：US20230222774A1

公开(公告)日：2023-07-13

申请号：US18001804

申请日：2020-07-03

Applicant: Sony Interactive Entertainment Inc.

Inventor： Shogo Sato ,  Hiroyuki Segawa

IPC: G06V10/774 ,  G06V10/764 ,  G06T19/00

CPC classification number: G06V10/774 ,  G06V10/764 ,  G06T19/006

Abstract: A sample image obtaining section repetitively obtains a sample image generated by photographing a given sample by a photographing unit. A feature quantity extracting section generates feature quantity data corresponding to the sample image, in reference to the sample image. The feature quantity extracting section classifies each of a plurality of pieces of feature quantity data into either training data or evaluation data. An evaluation learning section performs learning of an evaluation discriminator by using a plurality of pieces of the training data. A photographing necessity/unnecessity determining section determines necessity/unnecessity of additional photographing of the sample by using the evaluation discriminator in which the learning using the plurality of pieces of the training data has already been performed and a plurality of pieces of the evaluation data. A notifying section gives a notification regarding a result of the determination of the necessity/unnecessity of additional photographing of the sample.

公开(公告)号：US20230290127A1

公开(公告)日：2023-09-14

申请号：US18001800

申请日：2020-07-03

Applicant: Sony Interactive Entertainment Inc.

Inventor： Shogo Sato

IPC: G06V10/776 ,  G06V10/764 ,  G06V10/774

CPC classification number: G06V10/776 ,  G06V10/764 ,  G06V10/774 ,  G06V10/82

Abstract: There are provided a negative example availability deciding apparatus, a negative example availability deciding method, and a program that enable reuse of training data. A positive example evaluation training section generates a positive example evaluation classifier trained with target data as a positive example. A negative example evaluation training section generates a negative example evaluation classifier trained with target data as a negative example. An availability deciding section determines the classification accuracy of the positive example evaluation classifier and the classification accuracy of the negative example evaluation classifier by using evaluation data. The availability deciding section decides, on the basis of the classification accuracy of the positive example evaluation classifier and the classification accuracy of the negative example evaluation classifier, whether or not to use target data as negative example training data for training another classifier.