Egocentric-1M — The Internet for Physical AI
About This Dataset
Egocentric-1M is the largest egocentric video dataset ever released — approximately 1 million hours of first-person factory and manual-labor footage from head-mounted fisheye cameras, released by Build AI on April 8, 2026 under Apache 2.0. It is the third and largest release in Build AI's scaling series: Egocentric-10K (10,000 hours, November 2025), Egocentric-100K (100,000+ hours, December 2025), and Egocentric-1M (~1 million hours, April 2026). Founder Eddy Xu described it as 'the internet for physical AI.' At roughly 1 million hours it exceeds Ego4D (3,025 hours) by more than 300x. The dataset focuses on real production environments — assembly lines, sorting, packaging, and machining — captured on custom head-mounted glasses with state-of-the-art hand visibility and active manipulation density. Access requires accepting conditions on Hugging Face; the Apache 2.0 license permits commercial use.
What is it?
Egocentric-1M is the largest egocentric video dataset ever released — approximately 1 million hours of first-person recordings from head-mounted fisheye cameras, published by Build AI on April 8, 2026. It is the culmination of a rapid scaling series: Egocentric-10K (10,000 hours, 2,153 factory workers, 1.08 billion frames, November 2025), Egocentric-100K (100,000+ hours, December 2025), and Egocentric-1M (~1 million hours, April 2026). Build AI founder Eddy Xu described the dataset as 'the internet for physical AI' — a foundation-scale pretraining corpus for embodied intelligence.
Who is it for?
Teams pretraining robot foundation models, world models, and manipulation policies at scale. At 1M hours, Egocentric-1M is the first egocentric dataset large enough to support foundation-model pretraining from a single source. The factory and manual-labor domain focus makes it directly relevant to industrial manipulation and human-to-robot skill transfer.
Key specifications
- •Duration: ~1,000,000 hours of egocentric video
- •Camera: Head-mounted fisheye (OpenCV Kannala-Brandt fisheye model)
- •Domain: Real factory and manual-labor environments — assembly, sorting, packaging, machining
- •Format: 1080p 30fps, WebDataset shards with paired JSON metadata
- •License: Apache 2.0 — commercial use permitted
- •Access: Gated — requires accepting conditions on Hugging Face
- •Released: April 8, 2026
How it compares
Egocentric-1M is more than 300x larger than Ego4D (3,025 hours) and roughly 10x larger than its predecessor Egocentric-100K. Xperience-10M (10,000 hours) offers richer per-session modalities such as motion capture and depth but at a fraction of the scale. The tradeoff is modality depth versus raw scale: Egocentric-1M is the scale play; Xperience-10M is the modality play.
Limitations and access notes
RGB fisheye video only — no depth, motion capture, or tactile modalities. Human data requires retargeting to robot kinematics. Fisheye distortion requires correction or fisheye-aware model architectures. The domain is factory and manual labor rather than domestic settings. Access requires Hugging Face login and condition acceptance; Apache 2.0 permits commercial use.
Tasks Covered
This dataset covers manipulation, pick-and-place, assembly, inspection, long-horizon tasks across human (head-mounted fisheye camera) robot platforms.
Access and Licensing
Citation
Build AI (2026). Egocentric-1M — The Internet for Physical AI. https://huggingface.co/datasets/builddotai/Egocentric-1M
Robot Embodiments
This dataset includes demonstrations collected using the following robot platforms.
- human (head-mounted fisheye camera)
Professions trained on this dataset
Roles where robots trained on Egocentric-1M — The Internet for Physical AI are being deployed
Related Datasets
AgiBot World 2026
AgiBot · 2026 · CC BY-NC-SA 4.0
Real RobotRoboReward — Vision-Language Reward Dataset for Robotics
Stanford University · 2026 · CC BY 4.0
SyntheticPhysicalAI Robotics GR00T X-Embodiment Sim
NVIDIA · 2026 · CC BY 4.0
Real RobotOmniAction — Multimodal Proactive Robot Manipulation Dataset
LMMs Lab · 2026 · CC BY-NC 4.0
Frequently Asked Questions
About Build AI
Egocentric-1M — The Internet for Physical AI is a Human Video dataset maintained by Build AI, released in 2026 under the Apache 2.0 license. The dataset permits commercial use. It covers manipulation, pick-and-place, assembly, inspection, long-horizon tasks using human (head-mounted fisheye camera) robot platforms. Access requires registration at https://huggingface.co/datasets/builddotai/Egocentric-1M.