Satellite Image Classification using Machine Learning | Object Detection using YOLO

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Satellite Image Detection and Classification using Image Processing, It works on satellite image where it will identify the area like airport, seaport, basketball court, tennis court, etc. user can provide input image to machine learning model then it will identify that particular things from dataset. This project works similar to object detection model where it will detect the objects from image and identify the object. Python programming language is used to develop it and website interface developed using Django framework.

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Software Requirements :-
• Coding Language : Python
• Implementation: Software Framework.
• Operating system : Windows 10 / 11.
• Graphical User Interface : Tkinter

Hardware Requirement :-
• Input Devices : Keyboard, Mouse.
• System : Pentium i3 Processor.
• Hard Disk : 500 GB.
• Ram : 4 GB.

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