An image processing method and a related device are disclosed. The method is applied to the field of artificial intelligence. After obtaining a prior bounding box set of a target image, an execution device constructs a bounding box set based on the prior bounding box set, accordingly determines a correlation between each prior bounding box in the prior bounding box set and each bounding box, and finally determines, based on the correlation, a location and/or a category of a target object included in any prior bounding box. A series of transformation operations are performed on the bounding box set, and a feature of each bounding box is integrated into a feature of a prior bounding box, to increase a degree of differentiation between objects included in the prior bounding box. Therefore, background information around an object in the target image is creatively used to help locate or classify the object. This resolves a problem that object categories in the target image are easily confused in a case of a small sample, and significantly improves detection accuracy.