FE-YOLO: An Efficient Deep Learning Model Based on Feature-Enhanced YOLOv7 for Microalgae Identification and Detection

FE-YOLO: An Efficient Deep Learning Model Based on Feature-Enhanced YOLOv7 for Microalgae Identification and Detection

The identification and detection of microalgae are essential for the development and utilization of microalgae resources. Traditional methods for microalgae identification and detection have many limitations. Herein, a Feature-Enhanced YOLOv7 (FE-YOLO) model for microalgae cell identification and de...

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Bibliographic Details
Main Authors: Gege Ding, Yuhang Shi, Zhenquan Liu, Yanjuan Wang, Zhixuan Yao, Dan Zhou, Xuexiu Zhu, Yiqin Li
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Biomimetics
Subjects:
microalgal detection
feature fusion
object detection
deep learning
Online Access:https://www.mdpi.com/2313-7673/10/1/62
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