zxx1218/faceDetect
随着信息技术发展，人脸检测在多领域应用广泛，但传统方法在复杂场景存在精度与速度瓶颈。深度学习Yolo算法带来突破，不过直接用于人脸检测面临诸多挑战。本研究基于Yolo算法设计高效人脸检测模型，以克服难题。模型以Yolo系列算法为基础，对原始网络针对性优化，调整骨干网络、改进特征金字塔结构，在训练中采用公开数据集预训练、特定场景数据微调，使用数据增强技术，精心设计损失函数。此外，基于训练模型开发了基于BS结构的Web前后端交互界面，满足本科生以算法+应用的毕业设计要求。
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