Detect waste in Pomerania
Helping environment with Machine Learning methods
Detect waste with AI
This is a non-profit educational project from the AI for Good series in which I focus on the problem of waste in the environment with strong emphasis on plastics. During the project I learn together with the Women in Machine Learning and Data Science group from Tri-City and work on a model for trash detection. The project was attended by 9 participants supported by mentors (employees of StyleSage, Voicelab, BrainScan and NASA).
What and why?
Today, more than 300 million tons of plastic are produced annually. Plastic is everywhere and we constantly use it in our daily life. The idea of Plastic object detection project is to use Artificial Intelligence to detect plastic waste in the environment. Our solution will be applicable for video and photography. Our goal is to use AI for Good.
- development of waste object detection methods algorithms based on neural networks,
- verifying possibility of using domain adaptation methods for training object detectors in case of detection made on photos in different styles (different illumination condition, or scenery).
Technologies used: Python, Pytorch
Methods used: Deep Neural Networks, Litter Detection and Recognition, Weak-Supervised Object Detection, Semi-Supervised Instance Segmentation
- Deep learning-based waste detection in natural and urban environments (2022)
- Waste detection in Pomerania: non-profit project for detecting waste in environment (2021)
Learn more about the project
Project’s website: https://detectwaste.ml