WhichWaste: Multiclass Waste Sorting Dataset

The dataset contains images of 24 different categories of waste, according to the criteria of waste collection and management. Specifically, the categories, to which different object categories belong, are: bulky Items, cardboard, paper, styrofoam, aluminum-cans, PET, textiles, metal, non-ferrous metal, electric, rubble/stonegood, batteries, lithium batteries, coffee-capsules, screens/displays, books, CD-DVDs, cork, pots/pans, mixed-materials, dangerous-goods, plastic bottles (not-PET), tires, residual waste (trash). The data collection is based on manual collection (field photos), integration of material from publicly available datasets (Imagenet, Taco, TrashNet, MJU-Waste) and open images web-scraping. Overall the dataset contains 14'270 images and it represents one of the biggest open image dataset on the topic waste. The dataset is balanced.