dilaraozdemir/satellite-image-classification-pytorch
Image classification on Satellite Dataset-RSI-CB256 with torchvision models.
This project helps classify satellite and aerial images into four categories: cloud, desert, green area, or water. It takes raw image files as input and outputs a label indicating the dominant feature in each image. This tool is useful for remote sensing analysts, environmental scientists, or urban planners who need to quickly categorize land cover.
No commits in the last 6 months.
Use this if you need to automatically sort satellite or aerial imagery based on whether it shows clouds, desert, green areas, or water bodies.
Not ideal if you require classification for more granular land cover types or need to identify specific objects within an image.
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Oct 28, 2022
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