michaeltrs/DeepSatData
Automatically create machine learning datasets from satellite images
This toolkit helps researchers and data scientists working with satellite imagery to efficiently create large, high-quality datasets for training machine learning models. You provide an area and time frame of interest, and it automatically downloads relevant satellite products and processes them into ready-to-use datasets. This is ideal for those focused on applications like agricultural monitoring or environmental analysis.
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Use this if you need to build machine learning datasets from Sentinel satellite images for specific geographic areas and time periods.
Not ideal if you need to work with non-Sentinel satellite data or if your primary goal is manual image annotation rather than automated dataset generation.
Stars
44
Forks
8
Language
Python
License
—
Category
Last pushed
May 05, 2022
Commits (30d)
0
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