基于改进YOLOv7的树种识别方法

2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS) Pub Date : 2022-11-26 DOI:10.1109/ccis57298.2022.10016392

Boyu Hu, Minling Zhu, Lei Chen, Lei Huang, Ping Chen, M. He

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引用次数: 2

摘要

提出了一种基于YOLOv7的自然树种识别方法。在YOLOv7网络的基础上提出了一种新的小目标检测层，采用改进的Mosaic-8，并引入了注意机制。在不影响YOLOv7检测速度的基础上，提高了检测精度。实验表明，在相同条件下，该方法具有较强的学习能力和精度。

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Tree species identification method based on improved YOLOv7

The paper presents a natural tree species recognition methods based on YOLOv7. We propose a new small target detection layer based on the YOLOv7 network, use the improved Mosaic-8, and introduce the attention mechanism. On the basis of not affecting the detection speed of YOLOv7, we improve the detection accuracy. Experiments show that the method has stronger learning ability, and accuracy than other algorithms under the same conditions.

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来源期刊

2022 IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS)

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