Dataset profile
GTEA / GTEA Gaze
The Georgia Tech Egocentric Activity datasets capture first-person meal-preparation tasks and gaze-enabled variants. They remain useful as compact benchmarks for egocentric action recognition and hand-object interaction.
Overview
The Georgia Tech Egocentric Activity datasets capture first-person meal-preparation tasks and gaze-enabled variants. They remain useful as compact benchmarks for egocentric action recognition and hand-object interaction.
What's included
- First-person videos
- Action labels
- Gaze resources for GTEA Gaze variants
Tasks / activities
Modalities
Collection methodology
Participants performed daily meal-preparation activities while wearing a first-person camera or gaze-tracking setup.
Potential applications
- Egocentric action recognition
- Gaze-action learning
- Hand-object analysis
- Small-scale workflow benchmarks
Access & licensing
This is a third-party public/research dataset. We do not own or distribute this dataset. Access and usage are governed by the original publisher's terms.
Access and use are governed by the original Georgia Tech dataset terms.
Limitations / opportunities for custom data
Professional healthcare demonstrations require broader roles, settings, tasks, and privacy-aware protocols beyond cooking activities.
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