Cascina Elisa Politecnico di Torino [email protected]
Pellegrino Andrea Politecnico di Torino [email protected]
Tozzi Lorenzo Politecnico di Torino [email protected]
GitHub repository:
PoliTo research group:
Google Colab project file:
Paper:
Resource Constrained Semantic Segmentation for Waste Sorting
PDF:
Resource_Constrained_Semantic_Segmentation_for_Waste_Sorting_compressed.pdf
Semantic segmentation for waste sorting is a computer vision technique that helps machines understand and separate different types of waste in images or videos. It's like teaching a computer to recognize and categorize objects in a picture, but specifically for sorting trash.
Here's a simple explanation:
Example of what a semantic segmentation model can do