Research on Fine-Grained Image Recognition of Birds Based on Improved YOLOv5

Research on Fine-Grained Image Recognition of Birds Based on Improved YOLOv5

Birds play a vital role in maintaining biodiversity. Accurate identification of bird species is essential for conducting biodiversity surveys. However, fine-grained image recognition of birds encounters challenges due to large within-class differences and small inter-class differences. To solve this...

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Bibliographic Details
Main Authors: Xiaomei Yi, Cheng Qian, Peng Wu, Brian Tapiwanashe Maponde, Tengteng Jiang, Wenying Ge
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Sensors
Subjects:
bird identification
fine-grained
part-based
YOLOv5
Res2Net-CBAM
Online Access:https://www.mdpi.com/1424-8220/23/19/8204

Internet

https://www.mdpi.com/1424-8220/23/19/8204

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