Creating synthetic data for object detection by adding crops of objects to real images.

Hello! as the post title suggests I'm exploring expanding an object detection dataset by generating synthetic images using real images as base and adding crops of objects from my dataset. Pretty much exactly what is described on this medium post: https://medium.com/@alexppppp/how-to-create-synthetic-dataset-for-computer-vision-object-detection-fd8ab2fa5249

I want to discuss if anybody here that has done a process of this kind to expand an object detection dataset? did it actually gave you any improvements? the medium article only posts metrics after adding the synthetic images …

article computervision dataset detection discuss expand images improvements kind medium metrics object process synthetic