To solve the problem of information loss of arbitrary shape text detect ion in natural scenes,a scene text detection algorithm based on deep learning is propo sed.Firstly,a feature extraction module was constructed,Resnet50was used as the backbone net work,and a parallel void convolution module was introduced into the pyramid network struc ture with cross-layer connections to extract more semantic information.Secondly,multi- scale feature fusion is performed on the obtained feature map to learn features of different s cales.Finally, the kernel size of text line of different scales is predicted and the predicted text line area is gradually expanded until the final detection result is obtained.Experimental re sults show that the evaluation indexes of accuracy,recall and F1-measure of the model on SCUT -CTW1500curved text dataset reach 88.5%,77.0% and 81.3%,respectively.Compared with othe r segmentation-based algorithms,this algorithm has a good detection effect on cu rved text;therefore,it has certain application value.