road-assets Computer Vision Project

Here are a few use cases for this project:

1. Traffic Planning and Optimization Applications: Infrastructure departments could leverage this model for analyzing road conditions, traffic signal positioning, and efficiency of road markings. This analysis could lead to improved traffic flow, safer commuter behavior, and road maintenance planning.

2. Autonomous Vehicles: The model can be used in the development of autonomous vehicle's vision system. The ability to identify various road classes like signals, signs, street light, etc., is crucial for navigation, decision-making and ensuring safety of autonomous vehicles.

3. Traffic Enforcement Automation: Law enforcement could utilize this model in development of a system to automate detection of traffic violations based on road signage (e.g., ignoring stop signs, exceeding speed limits, not yielding the right-of-way), reducing human effort and improving accuracy.

4. Video Games and Driving Simulators: For creation of highly realistic road environments, this model could be used to recognizably populate the game world with traffic signals, road signs, and other roadway structures.

5. Infrastructure Improvement Planning: City or country planners could use the vision model to automatically survey and catalog the road conditions, road signs, intersections, lights, etc. This data could help in identifying areas that require new infrastructure or maintenance, while saving costs on manual surveys.