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The project aims to detect ships in million pixels satellite images using different object detection algorithms. This makes use of various libraries and wrappers for object detection frameworks such as UNET, YOLO, Mask R-CNN, SSD, Faster R-CNN, RETINA-NET etc which might help beginners get started with object detection and computer vision easily.

zmf0507/Ship-detection-in-satellite-images

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Ship-detection-in-satellite-images

The project aims to detect ships in million pixels satellite images using different object detection algorithms. This makes use of various libraries and wrappers for object detection frameworks such as UNET, YOLO, Mask R-CNN, SSD, Faster R-CNN, RETINA-NET etc which might help beginners get started with object detection and computer vision easily.

Acknowledgement

I am thankful to Abdul Wajid Nasar for his contribution to this project.

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If you find this helpful, do star this repo. For more queries and your feedback, feel free to reach out to me at zmf0507@gmail.com

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The project aims to detect ships in million pixels satellite images using different object detection algorithms. This makes use of various libraries and wrappers for object detection frameworks such as UNET, YOLO, Mask R-CNN, SSD, Faster R-CNN, RETINA-NET etc which might help beginners get started with object detection and computer vision easily.

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