Insulator category detection method based on deep transfer learning

The invention discloses an insulator category detection method based on deep transfer learning. The insulator category detection method comprises the following steps: 1, preprocessing an aerial insulator image; 2, expanding the preprocessed aerial insulator images and classifying different types of aerial insulator images; 3, utilizing a YOLO algorithm to perform initial positioning on an aerial insulator image with a complex background, and performing normalization processing on the positioned insulator; 4, constructing an Inception deep learning network of a multi-level difference adaptive architecture; 5, constructing a classification result and a semantic error entropy of the test sample set; and 6, constructing an insulator state cognitive feedback adjustment mechanism based on semantic error entropy. According to the invention, through a deep transfer learning method, self-optimization adjustment and reconstruction of the insulator state multi-level differential feature space andthe classification crite