The invention discloses a traffic billboard identification method based on an attention mechanism, which is applied to
electronic equipment and comprises the following steps of: inputting an originalimage, and enabling the size of the original image and the gray value range of each pixel point to be in a range of 0-255; performing normalization on the original image, and converting each image into a third-order
tensor form: [high, width, cannels]; constructing an attention mechanism, and learning the part, needing to be processed, of the original image; constructing a Faster RCNN multilayer neural network, and extracting and
processing features of the image; according to a
processing result, delineating a surrounding box of the advertising board. The multi-layer neural network is adopted,the attention mechanism is combined, the recognition
score is increased nearby the two sides of the highway, the recognition
score is reduced for the part away from the
road surface, and therefore the recognition accuracy is improved, and the method has wide application prospects in the fields of image classification and target recognition.