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Welcome to the GitHub repository for our final project in the Machine Learning class (MC886) at UNICAMP. In this project, we tackled the critical issue of trash segmentation using YOLOv8, a state-of-the-art object detection framework. Our goal was to leverage advanced machine learning techniques to enhance waste management processes.

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TrashDetection

Welcome to the GitHub repository for our final project in the Machine Learning class (MC886) at UNICAMP. In this project, we tackledthe critical issue of trash segmentation using YOLOv8, a state-of-the-art object detection framework. Our goal was to leverage advanced machine learning techniques to enhance waste management processes.

Dataset

In order to train our model we used the Trash Dataset for Oriented Bounded Box (2023), present on the link: https://universe.roboflow.com/trash-dataset-for-oriented-bounded-box/trash-detection-1fjjc

Video Presentation

https://www.youtube.com/watch?v=bO6yBUW8nCA&t=44s

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Welcome to the GitHub repository for our final project in the Machine Learning class (MC886) at UNICAMP. In this project, we tackled the critical issue of trash segmentation using YOLOv8, a state-of-the-art object detection framework. Our goal was to leverage advanced machine learning techniques to enhance waste management processes.

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