{"url":"/dataset/kitti-360-sr","name":"KITTI-360-SR","full_name":"KITTI-360 modification for Scene Recognition task","description_markdown":"Scene Recognition is a problem, where a set of visible objects must be correctly associated with objects marked on a semantic map - this problem is also sometimes called a Data Association. Please note, that Scene Recognition in terms where the observed scene must be labeled in terms such as 'kitchen', 'bedroom' and so on is a different problem.\r\n\r\nScene Recognition is used in different mobile robot localization problems, such as semantic mapping, global localization, kidnapping, loop-closing and so on. But problem is that there is no special dataset for that task (at least I found none). Such dataset should have the following features:\r\n -  a Semantic map with globally marked objects;\r\n -  scenes data (views from robot camera), where objects are also labeled and their IDs are correctly matched with IDs on the Semantic map.\r\n\r\nFor full info please follow https://github.com/MoscowskyAnton/scene_recognition_kitti_360","description_withheld":null,"homepage":"https://github.com/MoscowskyAnton/scene_recognition_kitti_360","introduced_date":"2024-09-04","introduced_date_note":null,"introduced_by":null,"license":{"name":"MIT","url":"https://github.com/MoscowskyAnton/scene_recognition_kitti_360/blob/main/LICENSE"},"modalities":[{"name":"Environment","url":"/datasets/modality/environment"}],"tasks":[{"name":"Scene Recognition","url":"/task/scene-recognition","datasets_with_task":"/datasets/task/scene-recognition"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["KITTI-360-SR"],"data_loaders":[],"num_papers_in_archive":0,"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."}