Provided are a method for identifying vehicle information, a system, a memory device, and a processor. The method for identifying vehicle information comprises: establishing a vehicle information data set; performing training with respect to the vehicle information data set on the basis of a YOLOv3 network, and obtaining a multi-attribute network model enabling vehicle information identification; and performing, by means of the obtained multi-attribute network model, multi-attribute prediction with respect to vehicle information of an image to be identified, so as to identify structured vehicle information in the image. The invention configures a network parameter influencing performance of a network model on the basis of YOLOv3, thereby achieving faster convergence and an optimized network model. Information of a vehicle itself is parsed into independent types to realize end-to-end input and output, such that a network output is structured information of each vehicle, thereby reducing time for identification and detection of vehicle information, improving identification efficiency, and providing wide applicability in the field of vehicle detection.
METHOD FOR IDENTIFYING VEHICLE INFORMATION, SYSTEM, MEMORY DEVICE, AND PROCESSOR