Preview ready-to-license, time-synchronized video of the same scene recorded by several cameras at once. Built for 3D vision, pose estimation and cross-view tracking teams that want to evaluate multi-view data before commissioning a custom camera rig.
Wearables
Synchronized footage from head-mounted and body-worn cameras, recorded alongside fixed cameras on the same scene. Gives models the participant's own viewpoint together with external angles.
Mobile
Time-synchronized video from Android and iOS phones placed or handheld around the same activity. Useful when your model must work with everyday phone footage from different angles.
External
Fixed and moving external cameras covering a space from outside: CCTV-style, drone and vehicle cameras. Suited to wide-area tracking, re-identification and scene-level analysis.
VR Headsets
Video from VR headset cameras captured together with other cameras on the same scene. Useful for hand and body tracking, mixed-reality and spatial-computing models.
About This Dataset
A multi-camera off-the-shelf (OTS) video dataset is a set of recordings in which the same scene was captured by two or more cameras at the same time, on a shared timeline. It has already been collected and can be licensed for AI training. Each camera sees the scene from its own angle, so together the views show what a single lens cannot: hidden objects, depth, and how people and objects move through space.
Because the data already exists, you can open samples, check the camera types and angles, and decide whether the dataset fits your model before spending on a new shoot. If you need a different camera count, layout or environment, our multi-camera recording service plans and records it for you. For other perspectives, see our egocentric OTS dataset and the full OTS dataset collection.
Same scene recorded from several angles on one shared timeline
Wearable, mobile, external and VR headset cameras
Samples you can preview before you request a dataset
Custom multi-camera recording available when OTS data is not enough
Why Multi-View
Several viewpoints of one moment give models information a single camera cannot.
Overlapping fields of view cover people, objects and the space between them, so one occluded camera does not end the observation.
Two or more known viewpoints allow triangulation, depth estimation and 3D reconstruction, which a single camera cannot provide.
The same subject seen from different angles lets models learn to re-identify and track people and objects across cameras.
Models trained on one viewpoint often fail when the angle changes. Multi-view training data teaches them to cope with it.
Use Cases
These are the most common applications for synchronized multi-view footage.
Multiple calibrated views of a person or object feed multi-view pose estimation, skeleton reconstruction and 3D scene models.
Following the same person or object from one camera to the next trains tracking models for retail, workplace and smart-space analytics.
Fixed and wearable cameras around a workspace give robots complementary views of grasping, handling and human-robot interaction.
Synchronized views of workstations, assembly lines and warehouse aisles help models understand multi-step activity and safety events.
Need labels as well? See our video annotation services, or compare with exocentric video data collection.
Buyer's Checklist
Multi-camera data is only as useful as its timing and geometry. Ask about these five things.
Hardware triggers, network time sync or in-scene sync events all work, but you need to know which one was used and how much drift remains.
The number of views, their angles and how much they overlap decide whether the data suits 3D, tracking or pose tasks.
Camera parameters and placement notes are what make triangulation and 3D reconstruction possible.
Consistent settings across cameras keep the footage uniform. Confirm the file format and how per-camera files are named.
Scene and session metadata, participant consent and clear licence terms matter before any data enters training.
Answers to common questions about off-the-shelf multi-camera video data.
A multi-camera off-the-shelf (OTS) dataset is a pre-collected set of video in which the same scene was recorded by two or more cameras on a shared timeline. It is available to license for AI training, so you can review samples and start working without waiting for a new multi-camera recording project.
Common methods are hardware triggers, network time synchronization and visible or audible sync events recorded in the scene. The method depends on the recording, and timing data is provided so views can be matched to the same moment. Ask us which approach applies to the dataset you are evaluating.
Our multi-camera work covers wearable cameras such as GoPro, Insta360 and smart glasses, Android and iOS phones, external cameras such as CCTV, drone and vehicle cameras, and PICO 4 Ultra VR headsets. Exact camera models are confirmed per dataset.
Depending on the dataset, you can expect per-camera video files, timing or offset data, camera layout and calibration information, and scene and session metadata. Request the specification of the dataset you are interested in to see exactly what is included.
It is used for 3D reconstruction, multi-view pose estimation, cross-camera person re-identification and tracking, robotics perception, retail and industrial analytics, and sports and motion analysis.
Yes. Existing data can often be extended with annotations or metadata, or supplemented with custom multi-camera recording in your own environment, with your own camera count, layout and device types.
Yes. Footage can be passed to our video annotation services for object tracking, activity labeling and review, or delivered as is if you annotate in-house.
Browse the sample cards above and open any of them to see its description and specification. Then use the contact button on this page and share your use case, camera types and the amount of data you need. We will reply with the matching dataset options.
More OTS Datasets
Need another data type? Browse our egocentric, image and audio collections, or see all OTS datasets.
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We plan, calibrate and record synchronized multi-camera video around your model, environment and camera types.
