基于Yolov3的实时目标检测技术研究

Research on Real-time Object Detection Technology Based on Yolov3

随着科学技术的进步,摄像头在日常生活中发挥着日益重要的作用,传统的检测方法已经不能满足社会的需求,在计算机视觉领域使用深度学习的卷积神经网络进行目标识别成为研究的重点.基于此,对深度学习目标检测器Yolov3进行研究并改进,可以在特定场景任务中有效提高检测的精度.

With the advancement of science and technology,cameras are playing an increasingly important role in daily life.Traditional detection methods can no longer meet the needs of society.The use of deep learning convolutional neural networks for target recognition in the field of computer vision has become the focus of research.Based on this,the deep learning target detector Yolov3 is researched and improved,which can effectively improve the detection accuracy in specific scene tasks.