satellite-image-deep-learning / techniques

Techniques for deep learning with satellite & aerial imagery

Date Created 2018-04-16 (6 years ago)

Commits 1,323 (last one 8 days ago)

Stargazers 7,960 (24 this week)

Watchers 264 (0 this week)

Forks 1,377

License apache-2.0

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RepositoryStats indexes 528,822 repositories, of these satellite-image-deep-learning/techniques is ranked #4,927 (99th percentile) for total stargazers, and #4,652 for total watchers.

satellite-image-deep-learning/techniques is also tagged with popular topics, for these it's ranked: python (#418/20262), deep-learning (#192/7776), machine-learning (#210/7315), pytorch (#102/5546), tensorflow (#55/2156), object-detection (#20/1074), dataset (#9/1041), keras (#19/757), deep-neural-networks (#18/601), convolutional-neural-networks (#6/511), image-classification (#13/364), datasets (#9/331), remote-sensing (#1/287), satellite-imagery (#1/131)

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satellite-image-deep-learning/techniques has Github issues enabled, there are 2 open issues and 20 closed issues.

There have been 22 releases, the latest one was published on 2024-01-28 (4 months ago) with the name General tidy up.

All Topics

keras python dataset pytorch datasets sentinel tensorflow deep-learning remote-sensing satellite-data machine-learning object-detection satellite-images earth-observation satellite-imagery deep-neural-networks image-classification convolutional-neural-networks

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769 commits on the default branch (master) since jan '22

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satellite-image-deep-learning/techniques

updated: 2024-06-12 @ 11:45pm, id: 129712017 / R_kgDOB7s_kQ