The invention discloses a vehicle attribute identification method and device based on neural network, equipment and a medium. The method comprises: obtaining a sample; obtaining an initial vehicle image to be identified, performing image preprocessing on the initial vehicle image; obtaining a target vehicle image, inputting the target vehicle image into a preset convolutional neural network model;extracting feature data of the target vehicle image through a preset convolutional layer and sending the feature data to each branch identification network for identification; obtaining vehicle colorattributes. The invention discloses a vehicle type attribute and a vehicle safety identification attribute. The vehicle safety identification attribute comprises: a vehicle safety identification attribute. According to the invention, the roof foreign matter detection information, the driving safety detection information and the license plate number identification information are obtained, the identification of various vehicle attributes can be completed through one identification process, the identification efficiency is improved, and the identification accuracy is improved by adopting a modeof simultaneously identifying multiple attributes by adopting a unified convolutional neural network.