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Event-based vision datasets
archive 2025-07-28
11 datasets carry the task tag "Event-based vision" (the task itself: Event-based vision), ordered by the archive's paper count. Page 1 of 1: 11 shown of 11. 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 vision datasets 1–11 of 11
TUM-VIE (TUM Stereo Visual-Inertial Event Dataset)
TUM-VIE is an event camera dataset for developing 3D perception and navigation algorithms.
18 papers · 0 benchmarks
CED (Color Event Camera Dataset)
Contains 50 minutes of footage with both color frames and events.
15 papers · 0 benchmarks
N-ImageNet (Large-Scale Dataset for Event-Based Object Recognition)
The N-ImageNet dataset is an event-camera counterpart for the ImageNet dataset.
15 papers · 2 benchmarks
Large-scale single-object tracking dataset, containing 108 sequences with a total length of 1.5 hours.
13 papers · 1 benchmark
In this work, we propose a general dataset for Color-Event camera based Single Object Tracking, termed COESOT.
9 papers · 1 benchmark
Event-Human3.6m is a challenging dataset for event-based human pose estimation by simulating events from the RGB Human3.6m dataset.
2 papers · 0 benchmarks
Used to show systematic performance improvement in applications such as high frame-rate video synthesis, feature/corner detection and tracking, as well as high dynamic range image reconstruction.
2 papers · 0 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
This synthetic event dataset is used in Robust e-NeRF to study the collective effect of camera speed profile, contrast threshold variation and refractory period on the quality of NeRF reconstruction from a moving event camera.
1 paper · 0 benchmarks
Overview The Spike-X4K Dataset is a high-resolution image reconstruction resource tailored for the latest advancements in spike camera technology.
1 paper · 1 benchmark
The MS-EVS Dataset is the first large-scale event-based dataset for face detection.
0 papers · 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.