{"url":"/dataset/presil","name":"PreSIL","full_name":"Precise Synthetic Image and LiDAR","description_markdown":"Consists of over 50,000 frames and includes high-definition images with full resolution depth information, semantic segmentation (images), point-wise segmentation (point clouds), and detailed annotations for all vehicles and people. \r\n\r\nSource: [Precise Synthetic Image and LiDAR (PreSIL) Dataset for Autonomous Vehicle Perception](/paper/precise-synthetic-image-and-lidar-presil)","description_withheld":null,"homepage":"https://uwaterloo.ca/waterloo-intelligent-systems-engineering-lab/projects/precise-synthetic-image-and-lidar-presil-dataset-autonomous","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/precise-synthetic-image-and-lidar-presil","title":"Precise Synthetic Image and LiDAR (PreSIL) Dataset for Autonomous Vehicle Perception","first_author":"Braden Hurl","url":null},"license":null,"modalities":[],"tasks":[{"name":"Object Detection","url":"/task/object-detection","datasets_with_task":"/datasets/task/object-detection"},{"name":"3D Object Detection","url":"/task/3d-object-detection","datasets_with_task":"/datasets/task/3d-object-detection"},{"name":"Autonomous Vehicles","url":"/task/autonomous-vehicles","datasets_with_task":"/datasets/task/autonomous-vehicles"}],"languages":[],"variants":["PreSIL"],"data_loaders":[],"num_papers_in_archive":13,"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":"2026-09-25T09:33:49+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."}