how to increase object detection model accuracy on roboflow?

Question

I have trained object detection models like yolo-nas on roboflow to detect elements such as trees , property lines , doors ,windows ,setbacks etc on building siteplans images but detection is not accurate for most of the predictions any expert advice how to increase accuracy while having limited dataset and I have to stick to roboflow as of now