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Ego500: The Most Densely Annotated Open-Source Egocentric Action Dataset
[DRAFT CARD — data upload pending. See the release post: https://ego500.humanarchive.ai]
Ego500 is 500 hours of in-the-wild first-person video of real-world work across 60+ environments (23 with more than four hours of footage), carrying over 310,000 structured action annotations.
Every second carries dense step annotations: what is being done, which phase of the task it belongs to, what each hand is holding, and which task-relevant objects are visible. Hands are engaged in 92% of steps. The dataset spans 390 unique task-environment combinations.
Annotation schema
Each video is annotated as a sequence of steps:
{
"step": 1,
"start_time_seconds": 0.0,
"end_time_seconds": 3.0,
"description": "Pick up the cloth from the counter with the right hand.",
"task_phase": "task",
"left_hand": "empty",
"right_hand": "cloth",
"objects_visible": ["cloth", "counter", "sink"]
}
- Temporal segment boundaries
- Imperative action descriptions
- Task phases (task vs. task-related work)
- Per-hand state, annotated independently, with "empty" as a first-class value
- Visible objects drawn from a per-video curated inventory
Quality
Every released label is a model draft verified and corrected by a trained annotator, then approved by an independent reviewer. Annotators complete a qualification protocol before working on production footage (0.763 inter-annotator agreement on the qualification pilot).
Every video is anonymized with EgoBlur Gen 2 before publication.
License
CC BY-NC 4.0: free for research and other non-commercial use with attribution. For commercial licensing, contact raj@humanarchive.ai.
Contact
Human Archive — https://humanarchive.ai
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