Improvements of detection accuracy and its confidence of defective areas by YOLOv2 using a data set augmentation method
Document Type
Research Article
Publication Title
Artificial Life and Robotics
Publication Date
7-8-2023
doi
10.1007/s10015-023-00885-9
First Page
625
Last Page
631
Recommended Citation
APA Citation
Arima, K.
Nagata, F.
Shimizu, T.
&
Otsuka, A.
(2023). Improvements of detection accuracy and its confidence of defective areas by YOLOv2 using a data set augmentation method. Artificial Life and Robotics, 28, 625–631.
10.1007/s10015-023-00885-9
https://fount.aucegypt.edu/faculty_journal_articles/5326
MLA Citation
Arima, Koki, et al.
"Improvements of detection accuracy and its confidence of defective areas by YOLOv2 using a data set augmentation method." Artificial Life and Robotics, vol. 28, 2023, pp. 625–631.
https://fount.aucegypt.edu/faculty_journal_articles/5326