公开(公告)号：US20240212372A1

公开(公告)日：2024-06-27

申请号：US18086976

申请日：2022-12-22

Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE

Inventor： Chih-Neng Liu ,  Hung-Chun Chou ,  Tsann-Tay Tang

IPC: G06V20/70 ,  G06T7/70 ,  G06V10/75 ,  G06V10/771

CPC classification number: G06V20/70 ,  G06T7/70 ,  G06V10/751 ,  G06V10/771 ,  G06V2201/06

Abstract: An automatic objects labeling method includes: capturing M consecutive image frames at one station of an assembly line. Performing an object detection step which includes selecting a detection image frame that displays an operation using a work piece against a target object from the M consecutive image frames; and calibrating the position range of the target object in the detection image frame; retracing from the detection image frame to select an Nth retraced image frame from the M consecutive image frames; obtaining a labeled image of the target object from the Nth retraced image frame according to the position range; comparing the labeled image with images of the M consecutive image frames to find at least one other labeled image similar to the target object; and storing both the labeled image and the at least one other labeled image as the same labeled data set.

公开(公告)号：US20210174200A1

公开(公告)日：2021-06-10

申请号：US16729453

申请日：2019-12-29

Applicant: Industrial Technology Research Institute

Inventor： Mao-Yu Huang ,  Po-Yen Hsieh ,  Chih-Neng Liu ,  Tsann-Tay Tang

IPC: G06N3/08 ,  G06N3/04 ,  G01N21/956 ,  G06T7/00

Abstract: A training device and a training method for a neural network model are provided. The training method includes: obtaining a data set; completing, according to the data set, a plurality of artificial intelligence (AI) model trainings to generate a plurality of models corresponding to the plurality of AI model trainings respectively; selecting, according to a first constraint, a first model set from the plurality of models; and selecting, according to a second constraint, the neural network model from the first model set.

公开(公告)号：US20230118614A1

公开(公告)日：2023-04-20

申请号：US17534340

申请日：2021-11-23

Applicant: Industrial Technology Research Institute

Inventor： Mao-Yu Huang ,  Sen-Chia Chang ,  Ming-Yu Shih ,  Tsann-Tay Tang ,  Chih-Neng Liu

IPC: G06N3/08 ,  G06N3/04

Abstract: An electronic device and a method for training a neural network model are provided. The method includes: obtaining a first neural network model and a first pseudo-labeled data; inputting the first pseudo-labeled data into the first neural network model to obtain a second pseudo-labeled data; determining whether a second pseudo-label corresponding to the second pseudo-labeled data matching a first pseudo-label corresponding to the first pseudo-labeled data; in response to the second pseudo-label matching the first pseudo-label, adding the second pseudo-labeled data to a pseudo-labeled dataset; and training the first neural network model according to the pseudo-labeled dataset.

公开(公告)号：US11636336B2

公开(公告)日：2023-04-25

申请号：US16729453

申请日：2019-12-29

Applicant: Industrial Technology Research Institute

Inventor： Mao-Yu Huang ,  Po-Yen Hsieh ,  Chih-Neng Liu ,  Tsann-Tay Tang

IPC: G06N3/08 ,  G01N21/956 ,  G06T7/00 ,  G06N3/045

Abstract: A training device and a training method for a neural network model. The training method includes: obtaining a data set; completing, according to the data set, a plurality of artificial intelligence (AI) model trainings to generate a plurality of models corresponding to the plurality of AI model trainings respectively; selecting, according to a first constraint, a first model set from the plurality of models; and selecting, according to a second constraint, the neural network model from the first model set.