John Paul Q. Tomas
ABSTRACT
In 2020 Scaled-YOLOv4 was introduced. It is one of the best object detection models outclassing its peers in MS COCO test-dev. In this study, the proponents used Scaled-YOLOv4 as their object detection model. The model will be used in the environment of Pasig River, Philippines in detecting plastic and paper. The model's performance will be tested using a dilapidated trash dataset. Object detection models usually face difficulties in detecting the object because of deformation, occlusion, illumination conditions, and cluttered background. The proponents’ Scaled-YOLOv4 model produced 63% average precision, 67% precision for plastic, 59% precision for paper. The model can be used in detecting trash materials found on the surface of the Pasig River.
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