Litter Street Images Computer Vision Project

Here are a few use cases for this project:

1. Litter Mapping and Cleanup Automation: Use the "Litter Street Images" model to analyze and create maps of litter distribution across cities or neighborhoods, helping local governments and volunteer organizations prioritize and plan cleanup efforts effectively.

2. Smart Waste Management: Integrate the model with surveillance systems or smart garbage bins to monitor and classify the accumulated litter, facilitating efficient waste sorting and resource recovery.

3. Environmental Awareness Campaigns: Use litter data gathered from the model to raise public awareness about the impacts of litter on our streets and environment, and encourage responsible disposal and recycling habits.

4. Robotic Trash Collectors: Implement the "Litter Street Images" model in autonomous litter-picking robots to identify and categorize different types of litter, improving their efficiency and accuracy in the waste collection process.

5. Fine Enforcement and Litter Prevention: Attach the model to street cameras, allowing authorities to detect instances of littering in real-time and potentially issue fines to discourage the behavior, reducing the overall litter burden on the streets.