This is MedWaste-Prediction-BACKEND-API
use POST method to interact with the API
/class41 <- with file that contain picture to classify medical_waste 41 classes
/class4G <- with file that contain picture to classify medical_waste 4 groups ['1-InfectionWaste', '2-BloodSecretionWaste', '3-LabWardWaste', '4-VaccineOtherWaste']
/yolov4_41 <- with file that contain picture to detect medical_waste 41 classes by yolov4
41 medical_waste items contains ... ['1WayConnectorforFoley', '2WayConnectorforFoley', '2WayFoleyCatheter', '3WayConnectorforFoley', '3Waystopcock', 'AlcoholBottle', 'AlcoholPad', 'BootCover', 'CottonBall', 'CottonSwap', 'Dilator', 'DisposableInfusionSet', 'ExtensionTube', 'FaceShield', 'FrontLoadSyringe', 'GauzePad', 'Glove', 'GuideWire', 'LiquidBottle', 'Mask', 'NGTube', 'NasalCannula', 'Needle', 'OxygenMask', 'PPESuit', 'PharmaceuticalProduct', 'Pill', 'PillBottle', 'PrefilledHumidifier', 'PressureConnectingTube', 'ReusableHumidifier', 'SodiumChlorideBag', 'SterileHumidifierAdapter', 'SurgicalBlade', 'SurgicalCap', 'SurgicalSuit', 'Syringe', 'TrachealTube', 'UrineBag', 'Vaccinebottle', 'WingedInfusionSet']