BDWaste: A comprehensive image dataset of digestible and indigestible waste in Bangladesh

The dataset describes about two significant classes of waste, which are defined as “waste management." Two classes include biodegradable and non-biodegradable, which contain a total of 21 distinct classes of waste. Biodegradable contains potato peel, lemon peel, rice, paper, fish scale, malt shell, banana peel, coffee cup, sugarcane husk, and egg shell. Non-biodegradable materials include polythene, plastic, wire, glass, gloves, chip packets, empty medicine packets, masks, and bottles. The dataset holds an overall total of 2625 real images of waste. Each image, both outdoor and indoor, used natural light to avoid shadows with an appropriate background. The device used to capture the images is an Android. The whole dataset practices the primary concepts of waste management, gives an overview of improper waste management, provides guidance on recycling, and also serves as valuable resources on waste management for future development purposes.