Ego4D Goal-Step

From the catalogue. Listed by one researcher from one source page.

• id: ego4d-goal-step
• kind: egocentric
• robot or device: Ego4D videos (class: human egocentric)
• how collected: hierarchical goal, step, substep annotation
• size as stated: 2,807 hours with goal labels; 430 hours with step labels; 48K step segments (per awesome list)
• hours: 2,807 | hours only claimed: none | episodes: not stated
• year: 2023
• organisation: Meta FAIR
• licence: Ego4D licence (class: unclear)
• access: via Ego4D CLI (class: not stated)
• link (dataset): https://github.com/facebookresearch/ego4d-goalstep
• part of: Ego4D. Its hours are counted there, not added again to the index's total
• note: Derived annotation set, NeurIPS 2023.

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