I am generating images that consist of points where the object's location is where the most overlap of points occurs. In this example, the object location is (25, 51). I am trying to train a model to just finds the location, I don't care about classification. Additionally, the shape of the overlapping points where the object is located never changes and will always be that shape.
What is a good model for this objective? Many of the potential models I've been looking at (CNN, YOLO, and RCNN) are more concerned with classification than location. Should I search the image for the overlapping dots, create a bound box around them, then retrieve the boxes coordinates?