riot det Computer Vision Project

Here are a few use cases for this project:

1. Public Safety Monitoring: The "riot det" model can be used in surveillance systems to detect and identify potential riots, thereby enabling the law enforcement agencies to respond timely and effectively. It could also signal any life-threatening situations during a riot, such as large vehicular movement or escalating crowd behavior.

2. Social Media Analysis: Given the prevalence of user-generated content during riot events, this model could be used to analyze social media images and videos to assess the severity of the situation, leading to a more organized and effective response by the related bodies.

3. News Reporting: Media entities can use this model to categorize and verify the authenticity of the images pertaining to a riot environment, which helps in reporting an accurate account of the event.

4. Traffic Management: During a riot, traffic can be massively affected. By identifying classes like Motorcyclist, Pedestrian, Truck, Car, Bus, Road Sign, the model can be utilized by traffic management authorities to better handle the situation and provide alternative routes to avoid the affected areas.

5. Urban Planning: Data collected from the model can be used by urban planners to evaluate crowd and traffic patterns during riots and use this data to make future infrastructure plans that could potentially reduce confusion or harm during such incidents.