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Event-based Optical Flow datasets

archive 2025-07-28

3 datasets carry the task tag "Event-based Optical Flow" (the task itself: Event-based Optical Flow), ordered by the archive's paper count. Page 1 of 1: 3 shown of 3. Facet routes are this site's own (the archive records the tag string, not a page).

The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.

Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets

Event-based Optical Flow datasets 1–3 of 3

MVSEC (Multi Vehicle Stereo Event Camera)
The Multi Vehicle Stereo Event Camera (MVSEC) dataset is a collection of data designed for the development of novel 3D perception algorithms for event based cameras.
28 papers · 2 benchmarks
DSEC (A Stereo Event Camera Dataset for Driving Scenarios)
DSEC is a stereo camera dataset in driving scenarios that contains data from two monochrome event cameras and two global shutter color cameras in favorable and challenging illumination conditions.
23 papers · 2 benchmarks
We use Kubric and ESIM simulator to make our EKubric dataset, which has 15,367 RGB-PointCloud-Event pairs with annotations (including optical flow, scene flow, surface normal, semantic segmentation and object coordinates ground truths).
1 paper · 0 benchmarks

Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.