{"url":"/dataset/ms2-dataset-rgb-nir-thermal-images-lidar-gps","name":"Multi-Spectral Stereo Dataset  (RGB, NIR, thermal images, LiDAR, GPS/IMU)","full_name":null,"description_markdown":"Abstract: \r\nWe introduce the multi-spectral stereo (MS2) outdoor dataset, including stereo RGB, stereo NIR, stereo thermal, stereo LiDAR data, and GPS/IMU information. Our dataset provides rectified and synchronized 184K data pairs taken from city, residential, road, campus, and suburban areas in the morning, daytime, and nighttime under clear-sky, cloudy, and rainy conditions. We designed the dataset to explore various computer vision algorithms from multi-spectral sensor data to achieve high-level performance, reliability, and robustness against challenging environments.\r\n\r\nMS2 dataset provides:\r\n* 1. (Synchronized) Stereo RGB images / Stereo NIR images / Stereo thermal images\r\n* 2. (Synchronized) Stereo LiDAR scans / GPS/IMU navigation data\r\n* 3. Projected depth map (in RGB, NIR, thermal image planes)\r\n* 4. Odometry data (in RGB, NIR, thermal cameras, and LiDAR coordinates)","description_withheld":null,"homepage":"https://sites.google.com/view/multi-spectral-stereo-dataset","introduced_date":"2023-06-01","introduced_date_note":null,"introduced_by":null,"license":{"name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License","url":"https://creativecommons.org/licenses/by-nc-sa/3.0/"},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Point cloud","url":"/datasets/modality/point-cloud"},{"name":"Stereo","url":"/datasets/modality/stereo"},{"name":"LiDAR","url":"/datasets/modality/lidar"}],"tasks":[{"name":"Depth Estimation","url":"/task/depth-estimation","datasets_with_task":"/datasets/task/depth-estimation"},{"name":"Visual Odometry","url":"/task/visual-odometry","datasets_with_task":"/datasets/task/visual-odometry"},{"name":"Depth Completion","url":"/task/depth-completion","datasets_with_task":"/datasets/task/depth-completion"},{"name":"Thermal Image Segmentation","url":"/task/thermal-image-segmentation","datasets_with_task":"/datasets/task/thermal-image-segmentation"},{"name":"Stereo Depth Estimation","url":"/task/stereo-depth-estimation","datasets_with_task":"/datasets/task/stereo-depth-estimation"},{"name":"Depth Prediction","url":"/task/depth-prediction","datasets_with_task":"/datasets/task/depth-prediction"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Multi-Spectral Stereo Dataset  (RGB, NIR, thermal images, LiDAR, GPS/IMU)"],"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":"2026-09-25T09:33:49+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."}