Object Detection Is One Of The Key Areas For All The Researchers In The Field Of Computer Science. The Research Is To Find The Types Of Objects In The Image And Provide Their Temporal And Spatial Characteristics. In The Recent Times There Have Been A Lot Of Improvements In The Field Of Satellite Image Detection With Varying Data Sets Being Available And Has Left High Impact On The Performance Of Such Analysis. A Number Of Algorithms Have Evolved Over A Period Of Time In Object Detection And Analysis Namely Different Versions Of YOLO, CNN, DETR Etc. There Is A Need To Deploy A Study Which Enables The Performance Comparison Of Different Versions Of These Algorithms On Specific Data Set To Understand Their Efficacy. The Study In The Paper Contributes To Understanding, Evaluating And Analyzing The Performance Characteristics Of YOLO V7 Algorithm With Varying Parameters.
