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TrashBox

The paper titled "TrashBox: Trash Detection and Classification using Quantum Transfer Learning" is available on IEEE website click here

The TrashBox dataset is presented and published in 31st IEEE FRUCT Conference hosted by University of Helsinki (Finland) click here

Furthur details of the dataset is available at Proceedings of the FRUCT'31 website link.

The report in PDF format is available here

If you use this dataset in your work, please cite it as per the IEEE Xplore citation of our paper available here

• Dataset of trash objects for waste classification and detection.

• Contains 17785 waste object images divided into seven classes (glass, plastic, metal, e-waste, cardboard, paper, medical waste).

• Each class is furthur divided into its subclasses as follows:

1. Medical waste : Syringes, Surgical Gloves, Surgical Masks, Medicines( Drugs and Pills) [Number of images: 2010]
2. E-Waste : Electronic chips, Laptops and Smartphones, Applicances, Electric wires, cords and cables [Number of images: 2883]
3. Plastic : Bags, Bottles, Containers, Cups, Cigarette Butts (which have a plastic filter) [Number of images: 2669]
4. Paper : Tetra Pak, News Papers, Paper Cups, Paper Tissues [Number of images: 2695]
5. Metal : Beverage Cans, Cnostruction Scrap, Spray Cans, Food Grade Cans, Other metal objects. [Number of images: 2586]
6. Glass [Number of images: 2528]
7. Cardboard [Number of images: 2414]

NOTE: The testing and validation data is available here