{"url":"/dataset/polarimetric-imaging-for-perception","name":"Polarimetric Imaging for Perception","full_name":null,"description_markdown":"The dataset includes polarimetric, RGB and depth automotive (on the road) data.\r\n\r\nThe data includes synchronized and aligned samples of the following: angle of linear polarization (AoLP) images, degree of linear polarization (DoLP) images, RGB images, lidar scans, ground truth free space segmentation (road segmentation), GNSS / IMU readings (vehicle location, vehicle orientation, vehicle speed, vehicle acceleration, etc.) and calibration matrices.\r\n\r\nThe dataset includes 12,627 samples  from 6 different locations. The locations represent typical suburbs where the scenes are not remarkably cluttered, but provide a good distribution of vehicles, pedestrians and buildings.\r\nAdditionally, the dataset includes free space segmentation of 8,141 images.","description_withheld":null,"homepage":"https://michaelbaltaxe.github.io/polarimetric_perception","introduced_date":"2023-05-24","introduced_date_note":null,"introduced_by":{"paper":"/paper/polarimetric-imaging-for-perception","title":"Polarimetric Imaging for Perception","first_author":"Michael Baltaxe","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"LiDAR","url":"/datasets/modality/lidar"}],"tasks":[{"name":"Monocular Depth Estimation","url":"/task/monocular-depth-estimation","datasets_with_task":"/datasets/task/monocular-depth-estimation"},{"name":"Road Segmentation","url":"/task/road-segementation","datasets_with_task":"/datasets/task/road-segementation"}],"languages":[],"variants":["Polarimetric Imaging for Perception"],"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."}