YOLOv9-AAG: Distinguishing Birds and Drones in Infrared and Visible Light Scenarios

Ojashwini R N; Asma Fathima; Bhavana M R; Ashwini G; Aishwarya G

doi:10.59256/ijire.20250606010

Original Article

YOLOv9-AAG: Distinguishing Birds and Drones in Infrared and Visible Light Scenarios

Paper ID 1009
Volume 6, Issue 6
Pages 67-77
Published Online: November-December 2025
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Authors

Ojashwini R N¹
Asma Fathima²
Bhavana M R³
Ashwini G⁴
Aishwarya G⁵

¹ Assistant Professor, Department of Computer Science and Engineering, Rajarajeswari College of Engineering, Bangalore, Karnataka, India. ² ³ ⁴ ⁵ Department of Computer Science and Engineering, Rajarajeswari College of Engineering, Bangalore, Karnataka, India.

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Article Information

DOI: https://www.doi.org/10.59256/ijire.20250606010
Published In: Volume 6, Issue 6 (2025)
Published Online: November-December 2025
Pages: 67-77
Article Type: Original Article
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Citations

Ojashwini R N1, Asma Fathima2, Bhavana M R3, Ashwini G4, Aishwarya G5, “YOLOv9-AAG: Distinguishing Birds and Drones in Infrared and Visible Light Scenarios”, IJIRE-V6I6-67-77.

YOLOv9-AAG: Distinguishing Birds and Drones in Infrared and Visible Light Scenarios

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