ROB6-segmentation_model Computer Vision Project

Here are a few use cases for this project:

1. Waste Sorting Application: This model could be utilized in a smart waste sorting system to automatically differentiate types of litter and direct them to the appropriate recycling or disposal area, increasing efficiency and accuracy in waste management.

2. Automated Street Cleaning: This model could be incorporated into a street cleaning robot system where it identifies types of litter on streets, pavements or other public places, making cleaning processes more effective and prioritizing areas based on litter type and quantity.

3. Environmental Research: The model can be used by environmental researchers for monitoring litter in urban areas or natural habitats to understand usage patterns and human impact. This data can support a wide range of environmental studies and urban planning activities.

4. Public Awareness and Educational Campaigns: Images segmented using the model could be used to educate the public about various types of common litter and their impact on the environment, prompting more responsible behavior.

5. Retail Insights: For businesses, the model can provide insights about the most frequently discarded items around their stores. These insights can help them make more conscious decisions regarding product packaging methods.