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Summar School 2023 (CV Course-Group 11)

Detecting Ships from Satellite Imagery with Deep Learning and Computer Vision

Authors

Author Author Author Author

Updates

โšก July, 2023: International GeoInformatics Summar School-LIESMARS-CHINA.

Players

Players

Preamble

Satellite imagery are critical in many applications such as defence, agriculture, surveillance and intelligence. This project aims at detecting large ships in sea from satellite images using AI and CV.

Requirements

Python 3.7+ Pytorch 1.7.1 torchvision 0.8.2 Opencv 4.5.5 CUDA Toolkit 10.1

The proposed model

Overall

๐Ÿ’ฌ Dataset Preparation

๐Ÿ‘‰ Data Structure

For ship classification dataset, clip the images to 256 ร— 256 patches. Please, respect the following structure: 
โ”œโ€”โ€”โ€”โ€”Ships/
|      โ”œโ€”โ€”โ€”image1.png
           image2.png
           ..........
           image1000.png
โ”œโ€”โ€”โ€”โ€”No-Ships/
|      โ”œโ€”โ€”โ€”image1.png
           image2.png
           ..........
           image3000.png

Contact Information

If you have any questions or would like to collaborate, please reach out to me at [email protected] or feel free to make issues.

summarschool2023's People

Contributors

tamer-saleh avatar

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