{"url":"/dataset/lsvtd","name":"LSVTD","full_name":null,"description_markdown":"**LSVTD** is a large scale video text dataset for promoting the video text spotting community, which contains 100 text videos from 22 different real-life scenarios. LSVTD covers a wide range of 13 indoor (eg. bookstore, shopping mall) and 9 outdoor scenarios, which is more than 3 times the diversity of IC15.","description_withheld":null,"homepage":"https://davar-lab.github.io/dataset/lsvtd.html","introduced_date":"2019-03-08","introduced_date_note":null,"introduced_by":{"paper":"/paper/efficient-video-scene-text-spotting-unifying","title":"You Only Recognize Once: Towards Fast Video Text Spotting","first_author":"Zhanzhan Cheng","url":null},"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"Text Spotting","url":"/task/text-spotting","datasets_with_task":"/datasets/task/text-spotting"}],"languages":[],"variants":["LSVTD"],"data_loaders":[],"num_papers_in_archive":7,"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."}