Improvements of detection accuracy and its confidence of defective areas by YOLOv2 using a data set augmentation method

Authors

Koki Arima
Fusaomi Nagata
Tatsuki Shimizu
Akimasa Otsuka

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. https://doi.org/10.1007/s10015-023-00885-9

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://doi.org/10.1007/s10015-023-00885-9