This was a project made in conjuction with student researchers from the Maasin City National High School. It involves taking pictures of waste with an ESP-32 Camera, sending those images to a FastAPI API running on an Ubuntu 22.04 LTS server, using a finetuned RESNET-152 Convolutional Neural Network for classification, and segragating it according to it's type (i.e. Biodegradable, and Non-Biodegradable).
- WaDaBa Image Dataset:
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Bobulski J., Piatkowski J., PET waste classification method and Plastic Waste DataBase WaDaBa, Conference Proc. IP&C 2018, Advances in Intelligent Systems and Computing, vol. 681, Springer Verlag, 2018, pp.57-64
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Bobulski J., Kubanek M., Deep Learning for Plastic Waste Classification System, Applied Computational Intelligence and Soft Computing, 2021, art. no. 6626948 DOI: 10.1155/2021/6626948
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- Gary Thung Trashnet Dataset
- Sushi Restaurant Image Dataset
- https://github.com/deepak2233/Waste-or-Garbage-Classification-Using-Deep-Learning