{"url":"/dataset/fire-and-smoke-dataset","name":"Fire and Smoke Dataset","full_name":null,"description_markdown":"This dataset is collected by DataCluster Labs, India. To download full dataset or to submit a request for your new data collection needs, please drop a mail to:&nbsp;[sales@datacluster.ai](mailto:sales@datacluster.ai)\r\n\r\nThis dataset is an extremely challenging set of over 7000+ original Fire and Smoke images captured and crowdsourced from over 400+ urban and rural areas, where each image is **manually reviewed and verified** by computer vision professionals at  Datacluster.\r\n\r\n### **Dataset Features**\r\n\r\n- Dataset size   : 7000+\r\n- Captured by  : Over 1000+ crowdsource contributors\r\n- Resolution     : 98% images HD and above (1920x1080 and above)\r\n- Location        : Captured with 400+ cities accross India\r\n- Diversity        : Various lighting conditions like day, night, varied distances, view points etc.\r\n- Device used  : Captured using mobile phones in 2020-2021\r\n- Usage            : Fire and Smoke detection, Smart cameras, Fire and Smoke alarming system, 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&nbsp;[w](http://www.datacluster.in/)ww.datacluster.ai to know more.","description_withheld":null,"homepage":"https://www.kaggle.com/datasets/dataclusterlabs/fire-and-smoke-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":[{"name":"Object Detection","url":"/task/object-detection","datasets_with_task":"/datasets/task/object-detection"}],"languages":[],"variants":["Fire and Smoke Dataset"],"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-fire-and-smoke-dataset","task":"Object Detection","dataset_variant":"Fire and Smoke Dataset","rows":0,"metrics":["value"],"first_row_in_archive_order":null,"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"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."}