TE
satellite-image-deep-learning/techniques
Techniques for deep learning with satellite & aerial imagery
10.1k 1.6k +2/wk
GitHub
convolutional-neural-networks dataset datasets deep-learning deep-neural-networks earth-observation image-classification machine-learning object-detection python pytorch remote-sensing
Trend
3
Star & Fork Trend (27 data points)
Stars
Forks
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Growth Velocity
satellite-image-deep-learning/techniques has +2 stars this period . 7-day velocity: 0.0%.
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| Metric | techniques | petals | tpot | TTS |
|---|---|---|---|---|
| Stars | 10.1k | 10.1k | 10.0k | 10.1k |
| Forks | 1.6k | 598 | 1.6k | 1.3k |
| Weekly Growth | +2 | +3 | +0 | +2 |
| Language | N/A | Python | Jupyter Notebook | Jupyter Notebook |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | MIT | LGPL-3.0 | MPL-2.0 |
Capability Radar vs petals
techniques
petals
Maintenance Activity 100
Last code push 4 days ago.
Community Engagement 81
Fork-to-star ratio: 16.2%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 41
+2 stars this period — 0.02% growth rate.
License Clarity 95
Licensed under Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.