{"url":"/dataset/vident-lab","name":"Vident-lab","full_name":null,"description_markdown":"**Vident-lab** is a dataset of dental videos with multi-task labels to facilitate further research in relevant video processing applications. The dataset constitutes a low-quality frame, its high-quality counterpart, a teeth segmentation mask, and an inter-frame homography matrix. The homography warps the current frame to the previous frame with respect to the teeth. The dataset has the training, validation, and test sets of 300, 29, and 80 videos, respectively. \r\n\r\nSource: [Multi-task Video Enhancement for Dental Interventions](https://arxiv.org/pdf/2210.16236v1.pdf)\r\n\r\nImage Source: [https://arxiv.org/pdf/2210.16236v1.pdf](https://arxiv.org/pdf/2210.16236v1.pdf)","description_withheld":null,"homepage":"https://mostwiedzy.pl/en/open-research-data/vident-lab-a-dataset-for-multi-task-video-processing-of-phantom-dental-scenes,624013248648956-0","introduced_date":"2022-10-25","introduced_date_note":null,"introduced_by":{"paper":"/paper/multi-task-video-enhancement-for-dental","title":"Multi-task Video Enhancement for Dental Interventions","first_author":"Efklidis Katsaros","url":null},"license":{"name":"Creative Commons Attribution-NonCommercial 4.0 International License","url":"https://creativecommons.org/licenses/by-nc/4.0/"},"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"Video Restoration","url":"/task/video-restoration","datasets_with_task":"/datasets/task/video-restoration"},{"name":"Video Enhancement","url":"/task/video-enhancement","datasets_with_task":"/datasets/task/video-enhancement"}],"languages":[],"variants":["Vident-lab"],"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."}