satellite-image-deep-learning / techniques

Techniques for deep learning with satellite & aerial imagery

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

Commits 1,338 (last one a day ago)

Stargazers 8,714 (27 this week)

Watchers 279 (0 this week)

Forks 1,489

License apache-2.0

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RepositoryStats indexes 584,353 repositories, of these satellite-image-deep-learning/techniques is ranked #4,709 (99th percentile) for total stargazers, and #4,303 for total watchers.

satellite-image-deep-learning/techniques is also tagged with popular topics, for these it's ranked: python (#401/22011), deep-learning (#183/8389), machine-learning (#202/7926), pytorch (#99/5948), tensorflow (#53/2241), object-detection (#20/1158), dataset (#9/1138), keras (#18/790), deep-neural-networks (#15/626), convolutional-neural-networks (#6/540), image-classification (#14/393), datasets (#9/356), remote-sensing (#1/327), satellite-imagery (#1/141)

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satellite-image-deep-learning/techniques has Github issues enabled, there are 3 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.

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

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satellite-image-deep-learning/techniques

updated: 2024-11-21 @ 01:12am, id: 129712017 / R_kgDOB7s_kQ