- Tytuł:
- Detrimental Starfish Detection on Embedded System: A Case Study of YOLOv5 Deep Learning Algorithm and TensorFlow Lite framework
- Autorzy:
- Toan, Nguyen Quoc
- Powiązania:
- https://bibliotekanauki.pl/articles/2086221.pdf
- Data publikacji:
- 2022
- Wydawca:
- Politechnika Lubelska. Instytut Informatyki
- Tematy:
-
deep learning
computer vision
YOLO
embedded system - Opis:
- There is a great range of spectacular coral reefs in the ocean world. Unfortunately, they are in jeopardy, due to an overabundance of one specific starfish called the coral-eating crown-of-thorns starfish (or COTS). This article provides research to deliver innovation in COTS control. Using a deep learning model based on the You Only Look Once version 5 (YOLOv5) deep learning algorithm on an embedded device for COTS detection. It aids professionals in optimizing their time, resources, and enhances efficiency for the preservation of coral reefs worldwide. As a result, the performance over the algorithm was outstanding with Precision: 0.93 - Recall: 0.77 - F1score: 0.84.
- Źródło:
-
Journal of Computer Sciences Institute; 2022, 23; 105--111
2544-0764 - Pojawia się w:
- Journal of Computer Sciences Institute
- Dostawca treści:
- Biblioteka Nauki
Artykuł