MO
DocF/multispectral-object-detection
Multispectral Object Detection with Yolov5 and Transformer
464 76 -1/wk
GitHub
deep-learning object-detection pytorch transformer yolov5
Trend
0
Star & Fork Trend (19 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
DocF/multispectral-object-detection has -1 stars this period . 7-day velocity: -0.2%.
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| Metric | multispectral-object-detection | rulm | saint | DAM4SAM |
|---|---|---|---|---|
| Stars | 464 | 463 | 465 | 466 |
| Forks | 76 | 48 | 76 | 37 |
| Weekly Growth | -1 | +0 | +0 | +0 |
| Language | Python | Jupyter Notebook | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | AGPL-3.0 | Apache-2.0 | Apache-2.0 | N/A |
Capability Radar vs rulm
multispectral-object-detection
rulm
Maintenance Activity 0
Last code push 690 days ago.
Community Engagement 82
Fork-to-star ratio: 16.4%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 70
Licensed under AGPL-3.0. Copyleft — check compatibility requirements.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.