This paper reviews the target detection algorithm based on deep learning and its application in the power job site. Firstly, the development of the target detection algorithm and the research directions in recent years are sorted out; then the single-stage and two-stage detection algorithms are separately reviewed. To elaborate, describe its advantages and disadvantages in detail, and on this basis, analyze in detail the improved network architecture based on two methods, and at the same time analyze the application of target detection technology in the power job site; finally, the current stage of deep learning target detection The shortcomings of the algorithm and its development direction are discussed.