In the current economic development of society, with the application and development of machine learning algorithms, computer vision processing technology based on this has also become a key form of technology in the field of artificial intelligence. Reasonably applying machine learning algorithms to computer vision processing can make it more suitable for human thinking and meet practical visual processing needs. Has won good honors in many large-scale recognition studies. This article mainly studies the main applications of deep convolutional neural networks in computer vision. Analyze the pooling operation and image classification object detection of deep convolutional networks and promote the application and development of deep convolutional neural networks in computer vision.