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.
Stars
27
Forks
2
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Mar 12, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/cuicaihao/split_raster"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
torchgeo/torchgeo
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
terrastackai/terratorch
A Python toolkit for fine-tuning Geospatial Foundation Models (GFMs).
opengeos/geoai
GeoAI: Artificial Intelligence for Geospatial Data
fatiando/verde
Processing and gridding spatial data, machine-learning style
sentinel-hub/eo-learn
Earth observation processing framework for machine learning in Python