Medical Waste Detection and Classification Through YOLO Algorithms

• Main Authors: Moktar M.H.B., Hajjaj S.S.H., Mohamed H.
• Other Authors: 57215719975
• Format: Conference paper
• Published: Springer Science and Business Media Deutschland GmbH 2025
• Subjects: Chemical wastes; Deep learning; Accidental injuries; Artificial intelligence methods; Classification models; Classifieds; Machine-learning; Medical wastes; Objects detection; Performances evaluation; Waste classification; Syringes

General waste is commonly managed to reduce pollution. Similarly, medical waste can be classified and managed to not only reduce pollution but also mitigate health risks and accidental injuries. Medical waste includes a variety of materials such as those contaminated with body fluids, sharps waste,...