EPIC-KITCHENS-100
EPIC-KITCHENS-100: 100 hours of unscripted egocentric kitchen activities from 45 kitchens. 90K action segments. Standard benchmark for action recognition and anticipation.
100 hours of unscripted egocentric kitchen activities. The gold standard for action recognition and anticipation research.
CC-BY-NC -- Non-Commercial MP4 + CSV Egocentric Vision
Key Stats
| Metric | Value |
|---|---|
| Duration | 100 hours of unscripted kitchen activity |
| Environments | 45 kitchens across 4 cities |
| Action segments | 90K with verb-noun annotations |
| Size | ~750 GB |
| Modalities | RGB video, optical flow, object detections, action labels |
| License | CC-BY-NC-4.0 (non-commercial only) |
| Origin | University of Bristol |
What is EPIC-KITCHENS?
EPIC-KITCHENS-100 is the extended version of the EPIC-KITCHENS egocentric video dataset, capturing 100 hours of unscripted daily kitchen activities recorded by head-mounted cameras. Unlike staged datasets, participants simply went about their normal cooking and kitchen routines, producing naturalistic action sequences that reflect real-world manipulation patterns.
The dataset includes 90K fine-grained action segments annotated with verb-noun pairs (e.g., "cut tomato", "open drawer", "pour water"), making it the standard benchmark for egocentric action recognition, action anticipation, and cross-modal retrieval. Pre-extracted features (optical flow, object detections) are also available, reducing the compute barrier for researchers.
Relevance to robotics
EPIC-KITCHENS is widely used to train perception modules for kitchen manipulation robots. The action anticipation benchmark is directly relevant to predictive robot control -- if a robot can anticipate human actions, it can collaborate more effectively. The hand-object interaction patterns inform grasp planning and task sequencing in household robotics.
Access
Note: This dataset is CC-BY-NC-4.0 licensed. It is free for research but cannot be used commercially or redistributed for commercial purposes.