cuicaihao/split_raster
Split Raster is an open-source and highly versatile Python package designed to easily break down large images into smaller, more manageable tiles. While the package is particularly useful for deep learning and computer vision tasks, it can be applied to a wide range of applications.
This tool helps researchers and practitioners in fields like remote sensing or medical imaging prepare very large images for analysis. It takes in a single large image, such as a satellite photo or microscopy scan, and breaks it down into many smaller, overlapping image tiles. This is especially useful for anyone doing image segmentation or other computer vision tasks where models perform better with smaller, consistent input sizes.
Use this if you need to systematically break down vast image datasets into manageable, uniformly sized pieces for machine learning or detailed inspection.
Not ideal if you only need to crop a single, small region from an image or if your workflow does not involve processing large image arrays.
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27
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2
Language
Jupyter Notebook
License
MIT
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Last pushed
Mar 12, 2026
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