{"url":"/dataset/sviro","name":"SVIRO","full_name":"Synthetic Vehicle Interior Rear Seat Occupancy Dataset","description_markdown":"Contains bounding boxes for object detection, instance segmentation masks, keypoints for pose estimation and depth images for each synthetic scenery as well as images for each individual seat for classification. \r\n\r\nSource: [SVIRO: Synthetic Vehicle Interior Rear Seat Occupancy Dataset and Benchmark](/paper/sviro-synthetic-vehicle-interior-rear-seat)","description_withheld":null,"homepage":"https://sviro.kl.dfki.de/","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/sviro-synthetic-vehicle-interior-rear-seat","title":"SVIRO: Synthetic Vehicle Interior Rear Seat Occupancy Dataset and Benchmark","first_author":"Steve Dias Da Cruz","url":null},"license":null,"modalities":[],"tasks":[{"name":"Pose Estimation","url":"/task/pose-estimation","datasets_with_task":"/datasets/task/pose-estimation"},{"name":"Intent Detection","url":"/task/intent-detection","datasets_with_task":"/datasets/task/intent-detection"},{"name":"3D Pose Estimation","url":"/task/3d-pose-estimation","datasets_with_task":"/datasets/task/3d-pose-estimation"}],"languages":[],"variants":["SVIRO"],"data_loaders":[],"num_papers_in_archive":15,"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."}