Face detection based on Yolov5

Jiahang Liu

doi:10.1117/12.3014517

9 January 2024 Face detection based on Yolov5

Jiahang Liu

Proceedings Volume 12969, International Conference on Algorithm, Imaging Processing, and Machine Vision (AIPMV 2023); 129692G (2024) https://doi.org/10.1117/12.3014517
Event: International Conference on Algorithm, Imaging Processing and Machine Vision (AIPMV 2023), 2023, Qingdao, China

Abstract

Face recognition technology is one of the popular research directions in computer vision in recent years, which is widely used in our daily life. Therefore, this paper takes the Yolov5 algorithm as the core, introduces the COCO dataset, and at the same time introduces the Yolov5 system structure and analyzes the algorithm in terms of implementation and performance. Experiments are conducted on the detection of two targets with different genders, and by changing three different hyperparameters (number of training rounds, batch size and image size), we observe the influence of the change of different hyperparameters on the experimental effect and derive the suitable size of different hyperparameters

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jiahang Liu "Face detection based on Yolov5", Proc. SPIE 12969, International Conference on Algorithm, Imaging Processing, and Machine Vision (AIPMV 2023), 129692G (9 January 2024); https://doi.org/10.1117/12.3014517

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