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?

Thanks :)

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, so I don't care about the classification of the object. 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 R-CNN) 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?

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 search the image for the overlapping dots, create bound box around it, then retrieve the boxes coordinates?

Thanks :)

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?

Thanks :)