walk_street2 Computer Vision Project

Here are a few use cases for this project:

1. Smart City Project: This model can assist in smart city initiatives by identifying various elements in the city environment, like traffic patterns, waste management optimization by spotting trash cans, identifying signage, and evaluating the effectiveness of advertising on banners and posters.

2. Public Safety: It can support public safety initiatives by monitoring streets for any unusual activities or objects, for example, spotting a person carrying potentially dangerous objects, or identifying abandoned objects like boxes, bottles, or buckets.

3. Urban Planning Research: Researchers can use the model to analyze urban space utilization, traffic management, and pedestrian behavior by identifying elements like cars, motorcycles, bicycles, pedestrians, signs, and street amenities like benches or lanterns.

4. Retail & Ad Analytics: Businesses and retailers can use it to evaluate the visibility and impact of their outdoor advertisements like posters, banners, etc. It can also help to monitor and analyze consumer behavior in relation to various physical objects and promotional materials displayed on the street.

5. Autonomous Vehicle Navigation: Self-driving vehicle systems can leverage this model to better understand the street environment and safely navigate urban settings by recognizing objects like traffic signals, pedestrians, bicycles, motorcycles, and other vehicles.