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pemix09/satellite-images-segmentation
satellite-images-segmentation is a machine learning model from pemix09. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
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 implemen…
Downloads · 30 days
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From the Hugging Face model README
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: