{"url":"/dataset/virtual-gallery","name":"Virtual Gallery","full_name":null,"description_markdown":"The Virtual Gallery dataset is a synthetic dataset that targets multiple challenges such as varying lighting conditions and different occlusion levels for various tasks such as depth estimation, instance segmentation and visual localization.\r\n\r\nIt consists of a scene containing 3-4 rooms, in which a total of 42 free-for-use famous paintings are placed on the walls.\r\n\r\nThe virtual model and the captured images were generated with Unity software, allowing us to extract ground-truth information such as depth, semantic and instance segmentation, 2D-2D and 2D-3D correspondences.\r\n\r\nSource: [Visual Localization by Learning Objects-Of-Interest Dense Match Regression](https://europe.naverlabs.com/research/3d-vision/virtual-gallery-dataset/)\r\nImage Source: [https://europe.naverlabs.com/research/3d-vision/virtual-gallery-dataset/](https://europe.naverlabs.com/research/3d-vision/virtual-gallery-dataset/)","description_withheld":null,"homepage":"https://europe.naverlabs.com/research/3d-vision/virtual-gallery-dataset/","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/visual-localization-by-learning-objects-of","title":"Visual Localization by Learning Objects-Of-Interest Dense Match Regression","first_author":"Philippe Weinzaepfel","url":null},"license":null,"modalities":[],"tasks":[{"name":"Autonomous Driving","url":"/task/autonomous-driving","datasets_with_task":"/datasets/task/autonomous-driving"},{"name":"Visual Localization","url":"/task/visual-localization","datasets_with_task":"/datasets/task/visual-localization"}],"languages":[],"variants":["Virtual Gallery"],"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."}