Seminar paper from the year 2021 in the subject Computer Science - Bioinformatics, grade: 1.00, , language: English, abstract: This study contributes and focuses on identifying trash materials found in Pasig River, mainly Manila City from Santa Ana to Intramuros. The proponents will use Scaled-YOLOv4, which is a state-of-the-art object detection model that will be trained to specifically detect plastic and paper. The main concern of this study is to test the performance of Scaled-YOLOv4-CSP configuration in detecting paper and plastic found on the surface of Pasig River, Philippines. Specifically, the study aims to answer the following questions: 1. How will the dilapidated trash dataset affect the performance of the Scaled-YOLOv4 model in detecting objects? 2. What will the Scaled-YOLOv4 model's two classes yield in terms of precision? 3. How will the environment hinder the Scaled-YOLOv4 model in detecting objects? In Pasig City, Philippines there is a river ferry service which is the only water-based transportation in Metro Manila that spans from Pinagbuhatan Pasig City, Mandaluyong City, Makati City, and Intramuros Manila City. It is owned by a private company called SCC Nautical Transport Services Incorporated. It is more similar to a water taxi than a ferry, and other water vessels also use the Pasig River as a route for transportation. In previous years, Pasig river is known for being one of the most polluted rivers in the Philippines. Trashes in the water surface cause major damages to water vessels passing through bodies of water. The damage done to these water vessels cost a lot of money in repairing it. The river is now clean due to the recent efforts of the Pasig River Rehabilitation Commission. Having a clean river doesn't mean that it will stay like that forever, a viable solution is having an automated trash detection on the surface of the water. These can be a way to minimize water debris and pollution. The detected trash can be documented on a weekly basis and notify the local government if there's an alarming increase in trash on the surface of the water.