Flow chart of neural network used for the astronomical target detection and classification framework. The framework uses the FPN to extract features from the original image. Then with the RPN and ROI alignment, feature maps of candidate images are transmitted to the classification and regression neural network. Through box regression and classification, the neural network will classify and obtain the position of these targets. In this figure, boxes stand for the manipulation and arrows stand for the data flow.