{"url":"/dataset/qv-pipe","name":"QV-Pipe","full_name":null,"description_markdown":"The QV-Pipe dataset consists of 9.6k videos, which are collected from real-world urban pipes. The total duration of all videos exceeds 55 hours. Moreover, there are 1 normal class and 16 defect classes. Because the pipe situation is complex and multiple defects often appear at the same time, each video is annotated with multiple labels.","description_withheld":null,"homepage":"https://videopipe.github.io/qvpipe/index.html","introduced_date":"2022-10-20","introduced_date_note":null,"introduced_by":{"paper":"/paper/videopipe-2022-challenge-real-world-video","title":"VideoPipe 2022 Challenge: Real-World Video Understanding for Urban Pipe Inspection","first_author":"Yi Liu","url":null},"license":null,"modalities":[],"tasks":[{"name":"Video Defect Classification","url":"/task/video-defect-classification","datasets_with_task":"/datasets/task/video-defect-classification"}],"languages":[],"variants":["QV-Pipe"],"data_loaders":[],"num_papers_in_archive":2,"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."}