Egocentric-100K — Manual Labor Egocentric Video Dataset

What is it?

Egocentric-100K is the largest dataset of manual labor egocentric video, containing 100,405 hours of first-person recordings from head-mounted fisheye cameras. Released in February 2026 under Apache 2.0, it was specifically designed for training robotic manipulation policies with state-of-the-art hand visibility and active manipulation density. The head-mounted fisheye configuration provides wider field of view than standard wrist cameras, capturing both hands and surrounding environment simultaneously across industrial, service, and domestic manual labor tasks.

Who is it for?

Researchers training robotic manipulation policies that require rich hand-object interaction data at scale. The manual labor focus covers exactly the task categories most relevant to near-term robot deployment — warehouse operations, food service, cleaning, assembly — with real-world diversity that lab datasets cannot match.

Key specifications

• •Duration: 100,405 hours of egocentric video
• •Camera: Head-mounted fisheye
• •Focus: Manual labor tasks — industrial, service, domestic
• •Modalities: RGB (fisheye), proprioception
• •License: Apache 2.0 — commercial use permitted
• •Access: Open — Hugging Face

How it compares

Egocentric-100K is the largest single-source egocentric video dataset — 10x larger than Ego4D (3,025 hours) and 80x larger than EgoVerse (1,213 hours). Its manual labor focus and commercial license make it the strongest pretraining source for service robot policies. The fisheye camera configuration differs from standard pinhole cameras used in most datasets, providing wider coverage but requiring calibration for policy transfer.

Limitations and access notes

Manual labor focus means less coverage of fine dexterous manipulation compared to task-specific datasets like DexWild. Fisheye distortion requires correction or fisheye-aware model architectures. Apache 2.0 permits unrestricted commercial use.