Model is trained to recognise 6 classes of objects: road, car, water, forest, grass and building. Images from any source can be provided ex: aerial images, UAV images etc. Yolo v8 was used, as it provides CNN implementation which helps recognize classes regardless of image zoom and it provides high provicency. Reasearch was conducted on Adam Mickiewicz's University in Poznań, Poland, by:
- Przemysław Klejno
- Karol Hadzicki
- Marcin Jakubik
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