Method for Training Object Detection Model, Object Detection Method and Related Apparatus

An electronic device, comprising:

• at least one processor;
• and
• a memory in communication connection with the at least one processor;
• wherein,
• the memory has instructions executable by the at least one processor stored therein, and the instructions, when executed by the at least one processor, cause the at least one processor to implement a method for training an object detection model, and the method comprises,
• obtaining training sample data, the training sample data comprising a first remote sensing image and position annotation information of an anchor box of a subject to be detected in the first remote sensing image, wherein the position annotation information comprises angle information of the anchor box relative to a preset direction,
• obtaining an object feature map of the first remote sensing image based on an object detection model, performing object detection on the subject to be detected based on the object feature map to obtain an object bounding box, and determining loss information between the anchor box and the object bounding box based on the angle information, and
• updating a parameter of the object detection model based on the loss information.