The existing remote sensing image object detection algorithms have been frustrated by large parameter quantities,slow detection speed and inability to deploy on mobile devices.Here,we propose a lightweight remote sensing image object detection algorithm without anchor frames.First,a DWS-Sandglass lightweight module is designed to reduce the model volume,and the activation function of the model is improved to ensure detection accuracy.Then,a parameter free attention module SimAM is introduced to enable the network to focus on more important feature information.Finally,the redundant channels of the anchor frame free algorithm are pruned to reduce the number of model parameters,and the accuracy is improved by fine tuning.The experimental results on HRSC2016 dataset show that compared with current mainstream detection algorithms free of anchor frame,the proposed algorithm has faster detection speed and smaller model size,making it more suitable for deployment on mobile devices with comparable detection accuracy.