TY - GEN
T1 - COTS recognition and detection based on Improved YOLO v5 model
AU - Jiang, Yufeng
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - At present, the ecological environment of the Great Barrier Reef is becoming more and more fragile. Stopping the propagation and spread of COTS is an important part of protecting the environment of the Great Barrier Reef. It is becoming more and more important to identify and detect the distribution of COTS. With the development of computer science, deep learning technology has been widely used in the field of image recognition. Based on YOLOv5 algorithm and WBF model, this paper constructs a more accurate and efficient detection model to frame the distribution position of COTS. Our algorithm has been verified on the KAGGLE platform. The results show that our algorithm has great advantages in detection performance compared with other detection models. Quantitatively, the F2 value of our model is 39.241% and 5.263% higher than that of Faster R-CNN and YOLO v5 algorithms, respectively, which provides a certain reference for the protection of the Great Barrier Reef.
AB - At present, the ecological environment of the Great Barrier Reef is becoming more and more fragile. Stopping the propagation and spread of COTS is an important part of protecting the environment of the Great Barrier Reef. It is becoming more and more important to identify and detect the distribution of COTS. With the development of computer science, deep learning technology has been widely used in the field of image recognition. Based on YOLOv5 algorithm and WBF model, this paper constructs a more accurate and efficient detection model to frame the distribution position of COTS. Our algorithm has been verified on the KAGGLE platform. The results show that our algorithm has great advantages in detection performance compared with other detection models. Quantitatively, the F2 value of our model is 39.241% and 5.263% higher than that of Faster R-CNN and YOLO v5 algorithms, respectively, which provides a certain reference for the protection of the Great Barrier Reef.
KW - COTS
KW - Image detection
KW - WBF
KW - YOLO v5
UR - http://www.scopus.com/inward/record.url?scp=85131829734&partnerID=8YFLogxK
U2 - 10.1109/ICSP54964.2022.9778430
DO - 10.1109/ICSP54964.2022.9778430
M3 - Conference contribution
AN - SCOPUS:85131829734
T3 - 2022 7th International Conference on Intelligent Computing and Signal Processing, ICSP 2022
SP - 830
EP - 833
BT - 2022 7th International Conference on Intelligent Computing and Signal Processing, ICSP 2022
T2 - 7th International Conference on Intelligent Computing and Signal Processing, ICSP 2022
Y2 - 15 April 2022 through 17 April 2022
ER -