Papers › Waste detection in Pomerania: non-profit project for detecting waste in environment
Waste detection in Pomerania: non-profit project for detecting waste in environment
Sylwia Majchrowska, Agnieszka Mikołajczyk, Maria Ferlin, Zuzanna Klawikowska, Marta A. Plantykow, Arkadiusz Kwasigroch, Karol Majek
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.
Code
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Object Detection | Drinking Waste Classification | EfficientDet-D2 | AP50 | 99.4 | #1 of 1 | Archive leaderboard | report |
| Object Detection | Extended TACO-1 | EfficientDet-D2 | AP50 | 56.8 | #1 of 1 | Archive leaderboard | report |
| Object Detection | Extended TACO-7 | EfficientDet-D2 | mAP50 | 16.2 | #1 of 1 | Archive leaderboard | report |
| Object Detection | MJU-Waste | EfficientDet-D2 | AP50 | 97.9 | #1 of 1 | Archive leaderboard | report |
| Object Detection | UAVVaste | EfficientDet-D2 | AP50 | 74.1 | #1 of 1 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
Methods
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