{"url":"/dataset/domestic-trash-garbage-dataset","name":"Domestic Trash / Garbage Dataset","full_name":null,"description_markdown":"### **This dataset is collected by Datacluster Labs. To download full dataset or to submit a request for your new data collection needs, please drop a mail to: [sales@datacluster.ai](mailto:sales@datacluster.ai)**\r\n\r\nThis dataset is an extremely challenging set of over 9000+ original Trash/Garbage images captured and crowdsourced from over 2000+ urban and rural areas, where each image is **manually reviewed and verified** by computer vision professionals at ****DC Labs.\r\n\r\n### **Dataset Features**\r\n\r\n- Dataset size   : 9000+\r\n- Captured by  : Over 2000+ crowdsource contributors\r\n- Resolution     : 99.9% images HD and above (1920x1080 and above)\r\n- Location        : Captured across 500+ cities\r\n- Diversity        : Various lighting conditions like day, night, varied distances, different material view points etc.\r\n- Device used  : Captured using mobile phones in 2020-2022\r\n- Usage               : Trash detection, Material classification, Garbage segregation, Trash segregation, etc.\r\n\r\n### Available Annotation formats\r\n\r\nCOCO, YOLO, PASCAL-VOC, Tf-Record\r\n\r\n*To download full datasets or to submit a request for your dataset needs, please drop a mail on sales@datacluster.ai . Visit [w](http://www.datacluster.in/)ww.datacluster.ai to know more.","description_withheld":null,"homepage":"https://www.kaggle.com/datasets/dataclusterlabs/domestic-trash-garbage-dataset","introduced_date":"2021-07-01","introduced_date_note":null,"introduced_by":null,"license":{"name":"Private","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[],"languages":[],"variants":["Domestic Trash / Garbage Dataset"],"data_loaders":[],"num_papers_in_archive":0,"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."}