{"url":"/dataset/highwaypavementcrackdetection","name":"HighwayPavementCrackDetection","full_name":null,"description_markdown":"1. The image comes from the CCD camera of the highway measurement vehicle. \r\n2. Cracks and sealed cracks have been labeled. \r\n3. The form of labels is different from traditional block annotations, but uses redundant and dense annotation boxes. \r\n4. Some of the data is manually annotated, while others are model generated annotations that have undergone careful manual inspection.","description_withheld":null,"homepage":"https://github.com/CHDyshli/PavementCrackDetection","introduced_date":"2022-10-07","introduced_date_note":null,"introduced_by":{"paper":"/paper/an-efficient-method-for-detecting-asphalt","title":"An Efficient Method for Detecting Asphalt Pavement Cracks and Sealed Cracks Based on a Deep Data-Driven Model","first_author":"Nan Yang","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"2D Object Detection","url":"/task/2d-object-detection","datasets_with_task":"/datasets/task/2d-object-detection"}],"languages":[],"variants":["HighwayPavementCrackDetection"],"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."}