Surgical Waste Dataset

Published: 19 April 2022| Version 1 | DOI: 10.17632/rnhz3fvbj2.1
Md Ferdous, Masudul Ahsan


Please cite our paper titled 'A Computer Vision-based System for Surgical Waste Detection' Digital Object Identifier (DOI) : 10.14569/IJACSA.2022.0130366 The dataset is built based on real-time images from our surroundings including roads, beaches, water, maintenance holes and so on. Several images of the dataset are synthetic. Moreover, most of them are natural. Some images are taken using the Samsung Galaxy A51 smartphone camera and the rest of the images are taken from internet mining. Images are chosen from close range and distance range to make the dataset a distance variant. The angle variation left, right, back and top angle images are taken. The dataset comprises diverse gesture conditions such as curling and kneeling. At the time of image collection, this study tries to take different types of colored masks and gloves. The color variation of the mask is white, sky blue, pink, black and others. Different types of masks are included surgical, N95, Cone-style, KN95 and so on. Surgical gloves also have blue, white, black and pink colors. Transparent gloves are included with more eagerness to make the system as robust and reliable underwater as well as an object floating on the water condition. According to the above criteria, 1153 images are collected from different internet sources and smartphones camera.



Khulna University of Engineering and Technology


Computer Vision, Object Detection, Hazardous Waste, Recognition