A method and system for image target detection, an electronic device, and a storage medium. The method comprises: receiving bounding box information of multiple target object bounding boxes produced by a convolutional neural network performing target recognition with respect to an image; storing the bounding box information to a random-access memory (RAM); parallel executing multiple local maximum search operations based on a non-maximum suppression algorithm with respect to the bounding box information read to produce a preset number of bounding boxes to be outputted; and transmitting bounding box information of the bounding boxes to be outputted to a central processing unit (CPU) of a heterogeneous platform, thus allowing the central processing unit (CPU) to output an image target detection result. The present application reduces the volume of communication data between a parallel processing chip and the CPU during an image target detection process, thus increasing the efficiency of image target detection.
METHOD AND SYSTEM FOR IMAGE TARGET DETECTION, ELECTRONIC DEVICE, AND STORAGE MEDIUM