VD
tatsuyah/vehicle-detection
Vehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.
1.1k 173 +0/wk
GitHub
computer-vision hog-features machine-learning self-driving-car sliding-windows svm svm-classifier udacity
Trend
0
Star & Fork Trend (24 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
tatsuyah/vehicle-detection has +0 stars this period . 7-day velocity: -0.1%.
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Signal-backed technical analysis will be available soon.
| Metric | vehicle-detection | Gaussian-SLAM | trading-bot | Awesome-Image-Colorization |
|---|---|---|---|---|
| Stars | 1.1k | 1.1k | 1.1k | 1.1k |
| Forks | 173 | 85 | 358 | 110 |
| Weekly Growth | +0 | +0 | -1 | +0 |
| Language | Jupyter Notebook | Python | Jupyter Notebook | N/A |
| Sources | 1 | 1 | 1 | 1 |
| License | N/A | MIT | MIT | N/A |
Capability Radar vs Gaussian-SLAM
vehicle-detection
Gaussian-SLAM
Maintenance Activity 0
Last code push 3082 days ago.
Community Engagement 75
Fork-to-star ratio: 15.1%. 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 30
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.