satellite-image-deep-learning / techniques

Techniques for deep learning with satellite & aerial imagery

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

Commits 1,326 (last one 8 days ago)

Stargazers 8,032 (23 this week)

Watchers 265 (0 this week)

Forks 1,389

License apache-2.0

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RepositoryStats indexes 534,551 repositories, of these satellite-image-deep-learning/techniques is ranked #4,897 (99th percentile) for total stargazers, and #4,641 for total watchers.

satellite-image-deep-learning/techniques is also tagged with popular topics, for these it's ranked: python (#418/20447), deep-learning (#192/7827), machine-learning (#210/7371), pytorch (#103/5588), tensorflow (#55/2165), object-detection (#20/1083), dataset (#9/1057), keras (#19/762), deep-neural-networks (#18/602), convolutional-neural-networks (#6/513), image-classification (#13/366), datasets (#9/332), remote-sensing (#1/289), satellite-imagery (#1/132)

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satellite-image-deep-learning/techniques has Github issues enabled, there are 2 open issues and 21 closed issues.

There have been 22 releases, the latest one was published on 2024-01-28 (5 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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772 commits on the default branch (master) since jan '22

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satellite-image-deep-learning/techniques

updated: 2024-06-28 @ 09:43pm, id: 129712017 / R_kgDOB7s_kQ