External damage image intelligent identification method based on deep learning

The invention relates to an external damage image intelligent identification method based on deep learning, and relates to the technical field of underground pipeline operation and maintenance. The method comprises the steps of video image sample data collection, artificial image calibration, model construction, model training, model evaluation and the like, wherein the model training is an intelligent algorithm based on deep learning, and employs an improved SSD algorithm to perform target detection; an object area is predicted on feature maps of different convolution layers, discretized multi-scale and multi-proportion default box coordinates are output, and meanwhile, a small convolution kernel is utilized to predict frame coordinate compensation of a series of candidate boxes and confidence of each category. The beneficial effects of the invention are that the method carries out the model training through employing a deep learning intelligent algorithm, is higher in speed and precision, achieves the intel