{"url":"/dataset/waste-classification-data","name":"Waste Classification data","full_name":null,"description_markdown":"PROBLEM\r\nWaste management is a big problem in our country. Most of the wastes end up in landfills. This leads to many issues like:  Increase in landfills, Eutrophication, Consumption of toxic waste by animals, Leachate, Increase in toxins, Land, water and air pollution.\r\n\r\nAPPROACH\r\nStudied white papers on waste management, Analysed the components of household waste, Segregated into two classes (Organic and recyclable), Automated the process by using IOT and machine learning, Reduce toxic waste ending in landfills\r\n\r\nIMPLEMENTATION\r\nDataset is divided into train data (85%) and test data (15%)

\r\nTraining data - 22564 images
 Test data - 2513 images","description_withheld":null,"homepage":"https://www.kaggle.com/techsash/waste-classification-data","introduced_date":"2021-09-04","introduced_date_note":null,"introduced_by":{"paper":"/paper/waste-classification-algorithm","title":"Waste Classification Algorithm","first_author":"Neha Naveen","url":null},"license":{"name":"https://www.kaggle.com/techsash/waste-classification-data","url":"https://www.kaggle.com/techsash/waste-classification-data"},"modalities":[],"tasks":[],"languages":[],"variants":["Waste Classification data"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"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."}