RoadWiki Computer Vision Project

Here are a few use cases for this project:

1. Autonomous Vehicle Guidance Systems: The RoadWiki model can be essential for the development of autonomous vehicles, helping them understand and obey various road signs, road markings, as well as assisting in decision-making processes based on this recognition.

2. Road Safety Applications: Developers can use this model to create road safety smartphone apps which alert drivers about upcoming signs, speed limits or other essential road marks so they can prepare their actions in advance, helping reduce accidents.

3. Road Infrastructure Analysis: Governments and urban planners can utilize this model to evaluate the clarity, visibility, and placement of existing traffic signs and road markings across the city, assisting in urban planning and road improvement efforts.

4. Driver Assessment Equipments: For organizations providing driving lessons or driver's license testing, this model can be used to develop equipment/systems that simulate real-world driving conditions and evaluate a driver's understanding and obedience of road signs and markings.

5. Driving Law Education: Educational websites or platforms can utilize the RoadWiki computer vision model for teaching new drivers about different traffic signs and road markings. The model can be applied to explain and demonstrate real-world scenarios for better understanding.