1 research outputs found
Waste detection in Pomerania: non-profit project for detecting waste in environment
Waste pollution is one of the most significant environmental issues in the
modern world. The importance of recycling is well known, either for economic or
ecological reasons, and the industry demands high efficiency. Our team
conducted comprehensive research on Artificial Intelligence usage in waste
detection and classification to fight the world's waste pollution problem. As a
result an open-source framework that enables the detection and classification
of litter was developed. The final pipeline consists of two neural networks:
one that detects litter and a second responsible for litter classification.
Waste is classified into seven categories: bio, glass, metal and plastic,
non-recyclable, other, paper and unknown. Our approach achieves up to 70% of
average precision in waste detection and around 75% of classification accuracy
on the test dataset. The code used in the studies is publicly available online.Comment: Litter detection, Waste detection, Object detectio