About the Dataset:

4 classes of drinking waste: Aluminium Cans, Glass bottles, PET (plastic) bottles and HDPE (plastic) Milk bottles. rawimgs - images of 4 classes of waste YOLO_imgs - images of 4 classes of waste with corresponding txt file (annotations for YOLO framework) labels.txt - labels of the classes

Story

This dataset was manually labelled and collected as a part of final year Individual Project at University College London. Pictures were taken with 12 MP phone camera. I created a real-time waste detection and identification system powered by YOLO framework. Use it as you like, if you could cite me in your work, would be much appreciated. Please reach out to me if this dataset actually helped you with your project. Arkadiy Serezhkin - arkadiyhacks@gmail.com

Acknowledgements

The dataset used parts of manually collected dataset of Gary Thung and Mindy Yang. I would like to thank them for collecting their dataset as this is not a fun thing to do (from my own experience). You can find their repository here.