to detect peanuts in unseen images by using deep learning .

I have 295 x-ray images of peanuts to train deep learning model.using those you must develop own object detection ml model. later on while using trained model on unseen image it must detect peanuts (even if there are 30 peanuts in 9x9 grid box ), draw regression boxes around it and give me exact bounding box measurements (x,y,w,h) measurements for further rot extraction.




peanut images may be different, I have provided sample upon deal will give whole. let me know now