{"url":"/dataset/davide","name":"DAVIDE","full_name":"'Depth-Aware VIdeo DEblurring'","description_markdown":"The DAVIDE dataset consists of synchronized blurred, depth, and sharp videos. The dataset comprises 90 video sequences divided into 69 for training, 7 for validation, and 14 for testing. The test set includes annotations of seven content attributes categorized by: 1) environment (indoor/outdoor), 2) motion (camera motion/camera and object motion), and 3) scene proximity (close/mid/far). These annotations aim to facilitate further analysis into scenarios where depth information could be more beneficial.","description_withheld":null,"homepage":"https://germanftv.github.io/DAVIDE.github.io/#materials","introduced_date":"2024-09-02","introduced_date_note":null,"introduced_by":{"paper":"/paper/davide-depth-aware-video-deblurring","title":"DAVIDE: Depth-Aware Video Deblurring","first_author":"German F. Torres","url":null},"license":{"name":"CC BY 4.0 International","url":"https://davide.rd.tuni.fi/davide-dataset/LICENSE.txt"},"modalities":[{"name":"Videos","url":"/datasets/modality/videos"},{"name":"RGB-D","url":"/datasets/modality/rgb-d"}],"tasks":[{"name":"Deblurring","url":"/task/deblurring","datasets_with_task":"/datasets/task/deblurring"},{"name":"Video Deblurring","url":"/task/video-deblurring","datasets_with_task":"/datasets/task/video-deblurring"}],"languages":[],"variants":["DAVIDE"],"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."}