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Target detection is chinaafrica growing to a task, computer vision in intelligent video surveillance, automatic monitoring and are widely used in industrial detection, over the years, with the deepening of the study and deepened, target detection algorithm based on depth of convolution neural network is gradually replacing the traditional target detection algorithm, become algorithms, which are frequently used in the field in this article, the focus on the target detection algorithm of commonly used data sets and the performance evaluation index, this paper introduces the development of convolution neural network, two stages of target detection algorithm and the unit target detection algorithm is focused on the content analysis, The future development of target detection algorithm based on deep convolutional neural network is prospected.

Research on Image Recognition of Convolutional Neural Network under Different Computer Data Set Capacities