Satellite Object Detection using Image Processing | Python Projects

Deep Learning methods for Remote Sensing Satellite Images Classification

Satellite Image processing using machine learning, This project will identify the object from satellite images, user have to upload any image to that project then model will identify the object and provide accuracy of identifying the object. It detects different type of object like baseball ground, basketball ground, soccer or tennis ground. Python programming language is used to develop this project and large size of dataset is used to trained this machine learning model which contains multiple classes of video and dataset downloaded from Kaggle. Each classes contains several videos dataset.

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.