{"url":"/dataset/sfchd","name":"SFCHD","full_name":null,"description_markdown":"This work contributes a large, complex, and realistic high-quality safety clothing and helmet detection (SFCHD) dataset. The dataset comprises 12,373 images, covering 7 categories, with a total of 50,558 labeled instances. All images are captured from factory surveillance cameras, encompassing 40 different scenes across two chemical plants. It is worth noting that our SFCHD dataset not only provides a rich set of training samples but also serves as a benchmark for the evaluation of various detection tasks, such as small object detection, and high-low light object detection.","description_withheld":null,"homepage":"https://github.com/lijfrank-open/SFCHD-SCALE","introduced_date":"2023-06-03","introduced_date_note":null,"introduced_by":{"paper":"/paper/towards-complex-real-world-safety-factory","title":"Large, Complex, and Realistic Safety Clothing and Helmet Detection: Dataset and Method","first_author":"Fusheng Yu","url":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"},{"name":"Real-Time Object Detection","url":"/task/real-time-object-detection","datasets_with_task":"/datasets/task/real-time-object-detection"},{"name":"Open World Object Detection","url":"/task/open-world-object-detection","datasets_with_task":"/datasets/task/open-world-object-detection"},{"name":"Small Object Detection","url":"/task/small-object-detection","datasets_with_task":"/datasets/task/small-object-detection"}],"languages":[],"variants":["SFCHD"],"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-sfchd","task":"Object Detection","dataset_variant":"SFCHD","rows":12,"metrics":["mAP@0.5:0.95","mAP@0.50"],"first_row_in_archive_order":{"model":"YOLOv8+SCALE","paper":"/paper/towards-complex-real-world-safety-factory","metrics":{"mAP@0.50":"78.6","mAP@0.5:0.95":"53.3"},"code_links":[{"title":"lijfrank-open/SFCHD-SCALE","url":"https://github.com/lijfrank-open/SFCHD-SCALE"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/towards-complex-real-world-safety-factory","title":"Large, Complex, and Realistic Safety Clothing and Helmet Detection: Dataset and Method","date":"2023-06-03","rows_on_this_dataset":12,"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."}