{"url":"/dataset/event-camera-dataset","name":"Event-Camera Dataset","full_name":null,"description_markdown":"The **Event-Camera Dataset** is a collection of datasets with an event-based camera for high-speed robotics. The data also include intensity images, inertial measurements, and ground truth from a motion-capture system. An event-based camera is a revolutionary vision sensor with three key advantages: a measurement rate that is almost 1 million times faster than standard cameras, a latency of 1 microsecond, and a high dynamic range of 130 decibels (standard cameras only have 60 dB). These properties enable the design of a new class of algorithms for high-speed robotics, where standard cameras suffer from motion blur and high latency. All the data are released both as text files and binary (i.e., rosbag) files.\r\n\r\nSource: [The Event-Camera Dataset and Simulator: Event-based Data for Pose Estimation, Visual Odometry, and SLAM](/paper/the-event-camera-dataset-and-simulator-event)","description_withheld":null,"homepage":"http://rpg.ifi.uzh.ch/davis_data.html","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/the-event-camera-dataset-and-simulator-event","title":"The Event-Camera Dataset and Simulator: Event-based Data for Pose Estimation, Visual Odometry, and SLAM","first_author":"Elias Mueggler","url":null},"license":{"name":"CC BY-NC-SA 3.0","url":"http://rpg.ifi.uzh.ch/davis_data.html"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Object Tracking","url":"/task/object-tracking","datasets_with_task":"/datasets/task/object-tracking"},{"name":"Optical Flow Estimation","url":"/task/optical-flow-estimation","datasets_with_task":"/datasets/task/optical-flow-estimation"},{"name":"Visual Odometry","url":"/task/visual-odometry","datasets_with_task":"/datasets/task/visual-odometry"},{"name":"Video Reconstruction","url":"/task/video-reconstruction","datasets_with_task":"/datasets/task/video-reconstruction"},{"name":"Event-Based Video Reconstruction","url":"/task/event-based-video-reconstruction","datasets_with_task":"/datasets/task/event-based-video-reconstruction"}],"languages":[],"variants":["Event-Camera Dataset"],"data_loaders":[],"num_papers_in_archive":51,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/video-reconstruction-on-event-camera-dataset","task":"Video Reconstruction","dataset_variant":"Event-Camera Dataset","rows":4,"metrics":["Mean Squared Error","LPIPS"],"first_row_in_archive_order":{"model":"HyperE2VID","paper":"/paper/hypere2vid-improving-event-based-video","metrics":{"LPIPS":"0.212","Mean Squared Error":"0.033"},"code_links":[{"title":"ercanburak/HyperE2VID","url":"https://github.com/ercanburak/HyperE2VID"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/event-based-video-reconstruction-on-event","task":"Event-Based Video Reconstruction","dataset_variant":"Event-Camera Dataset","rows":1,"metrics":["Mean Squared Error"],"first_row_in_archive_order":{"model":"HyperE2VID","paper":"/paper/hypere2vid-improving-event-based-video","metrics":{"Mean Squared Error":"0.033"},"code_links":[{"title":"ercanburak/HyperE2VID","url":"https://github.com/ercanburak/HyperE2VID"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/hypere2vid-improving-event-based-video","title":"HyperE2VID: Improving Event-Based Video Reconstruction via Hypernetworks","date":"2023-05-10","rows_on_this_dataset":2,"code_links":1,"syntology":null},{"paper":"/paper/event-based-video-reconstruction-using","title":"Event-Based Video Reconstruction Using Transformer","date":"2021-01-01","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/how-to-train-your-event-camera-neural-network","title":"Reducing the Sim-to-Real Gap for Event Cameras","date":"2020-03-20","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/high-speed-and-high-dynamic-range-video-with","title":"High Speed and High Dynamic Range Video with an Event Camera","date":"2019-06-15","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":2,"samples_ran":1,"samples_unverified":1,"pointer_only_for_licence":2,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":2,"samples_ran":1,"samples_unverified":1,"pointer_only_for_licence":2,"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."}