Object detection and recognition based on YOLOv11
Keywords:
YOLOv11, object detection, object recognitionAbstract
The paper is devoted to the problem of object detection and recognition using the YOLOv11 model. The paper discusses technical improvements to the architecture and analyzes the effectiveness of the model in different conditions and on complex images.
References
Khanam R., Hussain M. YOLOv11: An Overview of the Key Architectural Enhancements. Ithaca, NY: Cornell University, 2024. 9 p. (Preprint. arXiv:2410.17725). DOI: 10.48550/arXiv. 2410.17725 (date of access: 11.10.2025).
YOLO Evolution: A Comprehensive Benchmark and Architectural Review of YOLOv12, YOLO11, and Their Previous Versions / N. Jegham et al. Ithaca, NY: Cornell University, 2025. 20 p. (Preprint. arXiv:2411.00201). DOI: 10.48550/arXiv.2411.00201 (date of access: 11.10.2025).
Research on object detection and recognition in remote sensing images based on YOLOv11 / L.-h. He et al. Scientific Reports. 2025. Vol. 15, № 1. DOI: 10.1038/s41598-025-96314-x (date of access: 11.10.2025).
