Improved YOLOv8 algorithms for small object detection in aerial imagery
In drone aerial target detection tasks, a high proportion of small targets and complex backgrounds often lead to false positives and missed detections, resulting in low detection accuracy. To improve the accuracy of the detection of small targets, this study proposes two improved models based on YOL...
Gardado en:
| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Springer
2024-07-01
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| Series: | Journal of King Saud University: Computer and Information Sciences |
| Assuntos: | |
| Acceso en liña: | http://www.sciencedirect.com/science/article/pii/S1319157824002027 |
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