深度学习在目标视觉检测中的应用

Application of deep learning in target visual detection

深度学习技术的逐步发展,促进了目标视觉检测应用范围的不断拓展。在实际操作任务中,目标视觉检测技术受到了极大的关注。文章在对深度学习在目标视觉检测过程中的基本流程及公共数据集简要分析的基础上,详细分析具体的应用原理与存在的不足,并提出改进策略,以促进深度学习在目标视觉检测领域的进一步发展。

The gradual development of deep learning technology has promoted the continuous expansion of the application scope of target visual detection.In practical tasks,target visual detection techniques have received great attention.Based on the brief analysis of the basic process and the process of public datasets,this paper analyzes the specific application principles and deficiencies in detail,and proposes improvement strategies to promote the further development of deep learning in thefield of target visual detection.