Abstract: The present disclosure provides a synchronous processing method, system, storage medium and terminal for image classification and object detection. The method includes the following steps: inputting the image into a neural network to perform a first convolution operation to obtain a first feature map; performing sequentially a second convolution operation, a pooling operation and a nonlinear function activation operation on the first feature map to obtain a second feature map, obtaining the object detection result of the image based on the second feature map; performing in sequence a global average pooling operation and a full connection operation on the first feature map to obtain the classification result of the image. The synchronous processing method, system, storage medium and terminal for image classification and object detection of the present disclosure simultaneously perform image classification and object detection through the same neural network, thus effectively reducing system load.

Abstract: A method and a device for determining a picture with texts are provided. The method includes: acquiring an original picture for determining the picture with the texts; determining the quantity and/or position coordinate information of textboxes in the original picture based on the original picture and a textbox detection network; and determining whether the original picture is the picture with the texts based on the quantity and/or position coordinate information of the textboxes.