Pricing · Egocentric data
Egocentric Data Collection Cost
Egocentric data collection typically costs $5–$50 per raw first-person clip, and the capture method — not the pixels — drives the bill: a teleoperation seat exceeds $50,000 while a head-mounted rig runs $300–$800. Because diverse human egocentric video scales manipulation performance predictably, most labs now buy it by the accepted hour rather than operate their own fleet.
Quick facts
- Resolution
- 1080p baseline, priced per accepted hour; stereo 2160p and higher carry a resolution multiple
- Field of view
- ≥120° horizontal head-mounted; wider-FOV rigs raise the per-hour rate
- Mount
- Head-mounted GoPro/UMI-class rig at $300–$800 — the low-capex baseline versus a $50,000+ teleoperation seat
- Sensors
- RGB only — cheapest tier, RGB + IMU — small enrichment multiple, RGB + gaze — mid multiple, RGB + depth or 3D hand pose — highest multiple
- Labels
- Raw clips — lowest cost; Frame-aligned action segments; Object-state and hands-in-frame annotations
- Volume
- 20–50 accepted hours (pilot) to 500+ accepted hours (production), with the per-hour rate declining at volume
Key papers
Hard citations for the claims above. Each entry pairs a specific number with the paper that reports it.
Ego4D: Around the World in 3,000 Hours of Egocentric Video
3,670 hours, 74 locations. Ego4D spans 3,670 hours of daily-life first-person video from 931 camera wearers across 74 locations in 9 countries, collected under consenting-participant privacy and de-identification standards.
EgoDex: Learning Dexterous Manipulation from Large-Scale Egocentric Video
829 hours, 194 tasks. EgoDex pairs 829 hours of egocentric video across 194 tabletop tasks with 3D hand and finger tracking captured on Apple Vision Pro — the largest and most diverse dexterous human-manipulation dataset to date.
Rescaling Egocentric Vision: Collection, Pipeline and Challenges for EPIC-KITCHENS-100
90K action segments on 100 hours. EPIC-KITCHENS-100 densely annotates 100 hours (20M frames) with roughly 90,000 action segments across 45 kitchens — the labeled-hour density that raw first-person corpora cannot match.
What shapes cost & pricing
Egocentric data collection typically costs $5–$50 per raw first-person clip, and the capture method — not the pixels — drives the bill: a teleoperation seat exceeds $50,000 while a head-mounted rig runs $300–$800. Because diverse human egocentric video scales manipulation performance predictably, most labs now buy it by the accepted hour rather than operate their own fleet.
The capture settings this covers:
- Pilot-batch pricing — 20 to 50 accepted hours to validate a taxonomy and device floor before committing to production volume
- Per-accepted-hour rate for passive head-mounted RGB capture with frame-aligned action labels
- Enrichment multiples that stack when a job adds IMU, gaze, or 3D hand-pose tracks on top of baseline RGB
- Exclusivity and consent-artifact premiums for footage that will never be resold to a competitor
- The build-vs-buy line item — teleoperation-rig capex above $50,000 per seat versus outsourced human egocentric video
Why teams pay for egocentric capture
EgoScale shows that adding diverse human egocentric video scales dexterous-manipulation performance predictably, so more human hours is a measurable ROI lever rather than a sunk cost — which is what makes per-hour procurement a rational line item. [1]
EgoLive-scale egocentric human data delivers measurable robot-policy gains, making human video the cheapest incremental path to policy improvement. [2]
The AoE line of work frames the humanoid data shortage as the field's binding constraint, so procurement cost — not model capacity — is now what gates progress and what buyers must budget for first. [3]
Capture and delivery spec
Every cost & pricing capture program runs to an explicit spec so the footage is training-ready on delivery rather than after a re-shoot. The baseline below is tuned per program; sensors, labels, and volume scale with the buyer's model.
| Spec | Detail |
|---|---|
| Resolution | 1080p baseline, priced per accepted hour; stereo 2160p and higher carry a resolution multiple |
| Frame rate | 30 fps standard; 60 fps for fast-manipulation captures at a premium |
| Field of view | ≥120° horizontal head-mounted; wider-FOV rigs raise the per-hour rate |
| Mount | Head-mounted GoPro/UMI-class rig at $300–$800 — the low-capex baseline versus a $50,000+ teleoperation seat |
| Sensors | RGB only — cheapest tier, RGB + IMU — small enrichment multiple, RGB + gaze — mid multiple, RGB + depth or 3D hand pose — highest multiple |
| Labels | Raw clips — lowest cost; Frame-aligned action segments; Object-state and hands-in-frame annotations; VLA-formatted episodes — annotation-heavy, top tier |
| QA gates | Only accepted hours are billed — rejected clips cost nothing; Machine QA on stability, FOV, and hands-in-frame before an hour counts; Human review sampling on annotation accuracy |
| Delivery | H.265 plus per-clip JSON metadata and consent artifacts, priced into the accepted-hour rate; Hugging Face-streamable |
| Volume | 20–50 accepted hours (pilot) to 500+ accepted hours (production), with the per-hour rate declining at volume |
Open cost & pricing datasets
The 3 open corpora most relevant to cost & pricing are compared below on scale, sensors, license, commercial use, and the gap each leaves for a buyer. Only 1 of the 3 is permissively licensed for commercial use — which is the whole reason custom capture exists.
| Dataset | Size / scale | Sensors | License | Commercial use | Gap |
|---|---|---|---|---|---|
| Egocentric-10K | 10,000 h · 2,138 workers · 87 factories | Head-mounted RGB 1080p, raw only | Apache 2.0 | Yes | $0 to download, but unannotated and the consent chain is undocumented — you pay in labeling and legal review, not licensing |
| EgoDex | 829 h · 25-joint-per-hand pose | RGB + 3D hand pose | Non-commercial, no-derivatives | No | The best-annotated free egocentric corpus, but the license makes it worth $0 to a commercial buyer |
| Aria Everyday Activities | ~7.3 h · Project Aria glasses | RGB + IMU + gaze | Non-commercial research | No | Research-only terms; the multi-sensor stack you would pay a premium to capture is off-limits commercially |
Open datasets vs Truelabel custom capture
The cheapest headline price is misleading. Open corpora are either raw — Egocentric-10K's 10,000 hours cost $0 but nothing is annotated or consent-cleared — or annotated-but-non-commercial, like EgoDex's 829 hours, which are legally unusable in a product. Their real cost to a commercial buyer is labeling plus legal exposure, or infinity [4].
Teleoperation is the expensive alternative: a rig exceeds $50,000 per seat and an operator produces one slow demonstration at a time, whereas passive head-mounted capture at $300–$800 per rig collects natural human demonstrations in parallel across a collector network [1].
Per-accepted-hour pricing removes the hidden QA tax. You pay only for clips that pass machine and human review, so the rejected-footage cost that quietly inflates in-house collection budgets sits with the vendor, not your data team.
Exclusivity has a price but a clear return: because almost no annotated egocentric corpus is commercially licensed, custom capture buys spec control, an auditable consent chain, and footage that is never resold to a competitor — the difference between a shared benchmark and a defensible training moat [5].
Cost & pricing: by the numbers
The figures below are specific to cost & pricing egocentric data and anchor the comparisons above.
- $5–$50 per raw egocentric clip market range
- $50,000+ per teleoperation seat
- $300–$800 per head-mounted GoPro/UMI-class capture rig
- 10,000 free but unannotated hours in Egocentric-10K
- 829 non-commercially-licensed hours in EgoDex
- ~2x human-to-robot transfer gain (Physical Intelligence, Dec 2025)
How Truelabel captures cost & pricing data
Truelabel runs cost & pricing programs on a network of 20,000+ consented collectors across nine countries, capturing to your brief on a head-mounted rig. Every clip passes per-clip machine QA — head-mount stability, field of view, and hands-in-frame coverage — and ships with a signed wearer consent artifact and provenance manifest. A calibration pilot returns its first batch in days, then accepted batches scale to 20–50 accepted hours (pilot) to 500+ accepted hours (production), with the per-hour rate declining at volume, delivered as H.265 plus per-clip JSON metadata and consent artifacts, priced into the accepted-hour rate; Hugging Face-streamable. Go deeper via egocentric data licensing terms, what egocentric data is, industrial egocentric video sourcing, warehouse egocentric video capture, and kitchen egocentric video capture.
Related pages
Use these to move from category-level context into specific task, dataset, format, and comparison detail.
External references and source context
- EgoScale: Scaling Dexterous Manipulation with Diverse Egocentric Human Data
EgoScale demonstrates that diverse human egocentric video scales dexterous-manipulation performance, framing per-hour human-data procurement as a measurable ROI lever versus operating a teleoperation fleet.
arXiv ↩ - EgoLive: A Large-Scale Egocentric Dataset from Real-World Human Tasks
EgoLive is a large-scale egocentric dataset of real-world human tasks that delivers measurable robot-policy gains, evidence that human video is the cheapest incremental path to policy gains.
arXiv ↩ - AoE: Always-on Egocentric Human Video Collection for Embodied AI
AoE frames scalable, low-cost collection of egocentric human video as the answer to the humanoid/robotics data bottleneck.
arXiv ↩ - EgoDex: Learning Dexterous Manipulation from Large-Scale Egocentric Video
EgoDex is a large-scale egocentric manipulation release under a non-commercial, no-derivatives license — annotated but legally unusable for a commercial product.
arXiv ↩ - AoE: Always-on Egocentric Human Video Collection for Embodied AI
AoE frames scalable, low-cost collection of egocentric human video as the answer to embodied-AI data scarcity, underscoring why spec-controlled, exclusive capture has training value beyond shared benchmark corpora.
arXiv ↩
FAQ
How much does egocentric video data cost?
Raw first-person clips generally run $5–$50 each depending on sensors, annotation depth, and exclusivity, and most vendors price ongoing programs per accepted hour rather than per clip. The larger cost decision is the capture method: a teleoperation seat exceeds $50,000, while a head-mounted GoPro/UMI-class rig costs $300–$800 and collects human demonstrations in parallel.
Is it cheaper to build a teleoperation fleet or buy human egocentric video?
For most labs, buying is cheaper per usable demonstration. A teleoperation seat runs $50,000-plus and yields one demonstration at a time, whereas passive head-mounted capture across a collector network produces natural human video at a small fraction of that capex — and EgoScale shows those human hours translate into measurable manipulation gains.
Why can't we just use free datasets like Egocentric-10K or EgoDex?
Free rarely means usable. Egocentric-10K is Apache-2.0 and permissive, but its 10,000 hours are raw and its consent chain is undocumented, so you inherit the full labeling and legal cost. EgoDex and Aria are richly annotated but carry non-commercial licenses, so they are worth $0 to a commercial product. The 'free' option usually costs more once labeling and legal review are priced in.
What actually drives egocentric data pricing up or down?
Four levers: environment access (a real factory floor costs more than a home), the sensor stack (RGB is the cheap baseline; IMU, gaze, and 3D hand pose each add a multiple), annotation depth (raw clips to VLA-formatted episodes), and exclusivity. Volume moves the per-accepted-hour rate down.
Do we pay for footage that fails QA?
No. Only accepted hours are billed. Every clip passes machine QA on stability, field of view, and hands-in-frame, plus human review sampling on annotation accuracy, before it counts toward your invoice — so the rejected-footage cost stays with the vendor, not your data budget.
Do we get exclusive rights, and what does exclusivity cost?
Yes, exclusivity is available and priced as a premium over shared capture. Since almost no annotated egocentric corpus is commercially licensed, exclusive custom capture buys spec control, an auditable consent chain, and footage that is never resold to a competitor. Non-exclusive programs are cheaper when a benchmark-grade corpus is enough.
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