Data processing system, object detection method, and apparatus thereof

A cognitive network training method, the method comprising:

• obtaining a pre-annotated detection box of a target object in an image;
• obtaining a target detection box corresponding to the image and a first cognitive network, the target detection box identifying the target object, the target detection box comprising a first corner point and a first center point, the pre-annotated detection box comprising a second corner point and a second center point, the first corner point and the second corner point are two endpoints of a diagonal of a rectangle, and the position difference is further positively related to a center point position difference between the first center point and the second center point in the image and is negatively related to a length between the first corner point and the second corner point;
• and
• performing iterative training on the first cognitive network based on a loss function and outputting a second cognitive network, the loss function relating to an intersection-over-union (IoU) between the pre-annotated detection box and the target detection box.