{"url":"/dataset/drinking-waste-classification","name":"Drinking Waste Classification","full_name":null,"description_markdown":"## About the Dataset:\r\n4 classes of drinking waste: Aluminium Cans, Glass bottles, PET (plastic) bottles and HDPE (plastic) Milk bottles.\r\nrawimgs - images of 4 classes of waste\r\nYOLO_imgs - images of 4 classes of waste with corresponding txt file (annotations for YOLO framework)\r\nlabels.txt - labels of the classes\r\n\r\n## Story\r\nThis 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.\r\nArkadiy Serezhkin - arkadiyhacks@gmail.com\r\n\r\n## Acknowledgements\r\nThe 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](https://github.com/garythung/trashnet).","description_withheld":null,"homepage":"https://www.kaggle.com/arkadiyhacks/drinking-waste-classification","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Object Detection","url":"/task/object-detection","datasets_with_task":"/datasets/task/object-detection"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Drinking Waste Classification"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/object-detection-on-drinking-waste","task":"Object Detection","dataset_variant":"Drinking Waste Classification","rows":1,"metrics":["AP50"],"first_row_in_archive_order":{"model":"EfficientDet-D2","paper":"/paper/waste-detection-in-pomerania-non-profit","metrics":{"AP50":"99.4"},"code_links":[{"title":"wimlds-trojmiasto/detect-waste","url":"https://github.com/wimlds-trojmiasto/detect-waste"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/waste-detection-in-pomerania-non-profit","title":"Waste detection in Pomerania: non-profit project for detecting waste in environment","date":"2021-05-12","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}