Vision-based robots have been utilized for pick-and-place operations for their repeatability. Various vision-based autonomous pick and place approaches using machine learning techniques have been researched for more flexible and lightweight operations with a large dataset for training. there is rare research about human intervention for dataset. This research suggests two methods for pick-and-place with minimum human intervention