final final Computer Vision Project

Here are a few use cases for this project:

1. Traffic Instruction Learning Application: This model could be used for developing an application that helps people study and learn traffic signals for driving exams. Users can simply upload a photo of traffic signal, and the model can identify it, providing information about the rules associated with each signal.

2. Autonomous Vehicle Systems: The model could be integrated into autonomous driving systems to enhance understanding of visual cues on the road. The system could then make proper navigational decisions based on the recognized signs.

3. Traffic Management Systems: Traffic management authorities can use this model to monitor traffic signals in their city. They can detect potential issues or malfunctions when incorrect signals are identified.

4. Virtual Reality Driving Simulators: These simulators can use this model to accurately represent real-world driving scenarios. They can use the model for generating accurate and diverse traffic signals, contributing to a more realistic driving experience.

5. Safety Assessments: The model can be used for performing safety audits of cities, identifying areas where either important road signs are missing, or incorrect signs are placed. This can help reduce the chances of accidents due to misinterpretation of signals.

Please note that the example image mentioned (room with chairs and table) is unrelated to traffic signals, and therefore, it seems that the data set might contain unrelated images. For better performance, a dataset consistent with traffic signs should be used.