Trash_part6_Cyril Computer Vision Project

Here are a few use cases for this project:

1. Ocean Cleanup Efforts: This model can be used in ocean and waterway cleanup projects. The AI can automate the identification of trash types in marine environments to prioritize objects for removal and measure the impact of clean up operations by tracking the reduction of waste items over time.

2. Waste Management Improvement: Trash sorting facilities can use the model to automate the identification and separation of different types of waste, enhancing the efficacy and efficiency of recycling processes.

3. Pollution Studies: Environmental researchers can use the program to analyze the presence of trash in a specific area or ecosystem. The data can provide insight into pollution patterns and the impact of human activity on the environment.

4. Robotic Cleaner Development: Developers designing AI-powered cleaning robots can leverage this model to improve the ability of these robots to recognize, categorize and collect different types of waste, particularly in the context of cleaning natural environments like beaches or rivers.

5. Environmental Policy: The model could serve as a tool for policymakers, offering quantifiable data on the variety and quantity of waste in different locations. The generated data could substantiate the need for stricter waste management regulations.