satellite-image-deep-learning / techniques

Techniques for deep learning with satellite & aerial imagery

Date Created 2018-04-16 (6 years ago)
Commits 1,334 (last one 17 days ago)
Stargazers 8,654 (8 this week)
Watchers 278 (0 this week)
Forks 1,481
License apache-2.0
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RepositoryStats indexes 579,238 repositories, of these satellite-image-deep-learning/techniques is ranked #4,723 (99th percentile) for total stargazers, and #4,295 for total watchers.

satellite-image-deep-learning/techniques is also tagged with popular topics, for these it's ranked: python (#402/21862),  deep-learning (#183/8339),  machine-learning (#202/7866),  pytorch (#99/5908),  tensorflow (#53/2233),  object-detection (#20/1148),  dataset (#9/1130),  keras (#18/786),  deep-neural-networks (#15/623),  convolutional-neural-networks (#6/535),  image-classification (#14/390),  datasets (#9/356),  remote-sensing (#1/324),  satellite-imagery (#1/139)

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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 (9 months ago) with the name General tidy up.

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

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satellite-image-deep-learning/techniques

updated: 2024-11-07 @ 12:19am, id: 129712017 / R_kgDOB7s_kQ