DL

davidbrai/deep-learning-traffic-lights

Code and files of the deep learning model used to win the Nexar Traffic Light Recognition challenge

482 160 +0/wk
GitHub
caffe deep-learning recognize-traffic-lights
Trend 0

Star & Fork Trend (19 data points)

Stars
Forks

Multi-Source Signals

Growth Velocity

davidbrai/deep-learning-traffic-lights has +0 stars this period . Velocity data will be available after more historical data is collected.

Deep analysis is being generated for this repository.

Signal-backed technical analysis will be available soon.

Metric deep-learning-traffic-lights Emotion deepstock Deep-learning-in-PHM
Stars 482 482481483
Forks 160 170157101
Weekly Growth +0 +0+0+0
Language Jupyter Notebook PythonPythonN/A
Sources 1 111
License BSD-2-Clause MITNOASSERTIONMIT

Capability Radar vs Emotion

deep-learning-traffic-lights
Emotion
Maintenance Activity 0

Last code push 3277 days ago.

Community Engagement 100

Fork-to-star ratio: 33.2%. 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 95

Licensed under BSD-2-Clause. Permissive — safe for commercial use.

Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.