The classification of workshop objectives based on deep learning is the foundation of intelligent workshop management. There are various types of targets in the workshop, with variable geometric shapes and disorderly distribution of targets. In this article, we propose a deep learning based solution that can improve the speed and accuracy of target classification. A deep neural network model can train specialized models for specific work environments. The experiment has shown that the scheme has significant improvements in accuracy and visual effects.