Sound familiar?Short on real-world multi-camera data?

Synchronized Multi-Camera Originals

Originals of the same moment from several cameras, time-aligned. Each is paired with the edit that actually aired.

Multi-view generationEditing modelsWorld models

Use cases

Problems this data solves

01

Generate consistent video across viewpoints

02

Learn editing decisions from original → broadcast pairs

03

Reconstruct people in 3D from multiple angles

Scale · specs

Total volume
[Hours] · [Clips]
People
1–6+ people, Korean
Genre
Talk show · variety · music stage · live broadcast
Cameras
3–9+ per scene, aligned to a shared timecode
Video
Per-camera original MP4 + broadcast edit, 1080p – 4K

Labels

Included
Camera ID, shared timecode, segments used on air, 3-level captions
On request
Camera motion, other custom labels

Request a sample

Get a sample of this collection

The button takes you to the sample request form.

Delivery

How you receive it

  • File formatPer-camera MP4 + broadcast edit MP4 + JSON
  • Bundle unitPer scene (camera bundle)
  • Delivery methodDownload link · cloud bucket (manifest included)

Rights & consent

Rights & consent

Direct contract with the rights holder

Contracted directly with the producer who owns the originals

Performer consent scope

Within the scope of performers’ consent to use their likeness for AI training

Face handling options

Blur non-consenting faces or fully anonymize

Non-exclusive · fixed term

Non-exclusive use within the contract term

No-replication clause

No replicating performers’ faces or voices

Need something slightly different?

Change the speaker count, genre or labels and request a custom build.

Request a custom version
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