Repository · Apache-2.0
satellite-image-deep-learning/techniques
Techniques for deep learning with satellite & aerial imagery
★ 10.3k
Stars
1.6k forks · 0 open issues
+4.0/wk
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
30.0
Momentum / 100
see the breakdown below
8y ago
Created
last push 7d ago
Star history
How this score was built
| Component | Weight | Earned | Why |
|---|---|---|---|
| Velocity | 55 | 3.8 | +4.0/wk, log-scaled against a 750/day ceiling |
| Acceleration | 15 | 0.0 | last week ran 0.68× the monthly pace |
| Freshness | 15 | 14.6 | last push 7d ago; decays to zero at 180 days |
| Scale | 15 | 11.6 | 10.3k stars, log-scaled against 150k — stops a 3-star repo topping the board |
| Momentum | 100 | 30.0 | sum of the above |
Detail
| Topics | convolutional-neural-networksdatasetdatasetsdeep-learningdeep-neural-networksearth-observationimage-classificationmachine-learningobject-detectionpythonpytorchremote-sensingsatellite-datasatellite-imagerysatellite-imagessentinel |
| Matched on | Computer Vision (object-detection) |
| Short window | +4 stars over 7 days = 0.6/day |
| Long window | +22 stars over 26 days = 0.8/day |
| Lifetime average | 3.30 stars/day over 3,125 days |
| First seen here | 2026-10-11 |
| Last read | 2d ago |