EPIC-KITCHENS-100
University of Bristol (with University of Catania and University of Toronto) · 2022 · datasets.bot · datasets.bot page
One-liner. 100h egocentric kitchen activity video from 37 participants in 45 kitchens; ~90K action segments, RGB+audio+flow+masks.
Setup
- Datasets / benchmarks: EPIC-KITCHENS-100 is the largest annotated egocentric (head-mounted camera) dataset of unscripted daily kitchen activities, comprising 100 hours of video (20M frames) across 700 variable-length videos recorded by 37 participants in 45 kitchens across 4 cities. It provides ~90K fine-grained action segments with dense language narrations, plus optical flow, audio, object segmentation masks, and hand-object bounding boxes. It is widely used as a human-demonstration resource for egocentric perception, action recognition/anticipation, and embodied/robot learning research. License: CC-BY-NC-4.0. Download: https://data.bris.ac.uk/data/dataset/2g1n6qdydwa9u22shpxqzp0t8m.
- Hardware / simulator: Embodiment: human. Environment: kitchen. Realness: physical.
Schema
videos (P{participant}_{video}.MP4) -> RGB/flow frame archives + meta_data; annotations as CSV: action segments {start/stop timestamp, verb, noun, narration}
Links