C2f-Faster-based YOLOv8n power transmission line fault detection method

A YOLOv8n power transmission line fault detection method based on C2f-Faster belongs to the technical field of computer vision, and comprises the following steps: S1, establishing a fault detection data set; s2, marking the collected data set, and randomly dividing the data set into a training set, a verification set and a test set according to 8: 2: 1; s3, in the aspect of a model, replacing a C2f module with a C2f-Faster module, improving a backbone network (Backbone) and a neck network (Neck) of the YOLOv8n, and constructing a YOLOv8n detection model based on the C2f-Faster; s4, a YOLOv8n detection model based on C2f-Faster is trained on the basis of the training set, and a detection model is obtained; and S5, finally, inputting the test set into a YOLOv8n detection model based on C2f-Faster, and outputting a power transmission line fault detection result, thereby realizing power transmission line fault diagnosis, and having very strong practical significance. By improving the backbone network and the neck