# EgoPoints

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

- id: `egopoints`
- kind: egocentric
- robot or device: egocentric sequences, EPIC Fields (class: human egocentric)
- how collected: manual point track annotation plus synthetic training sequences
- size as stated: 4.7K tracks; 11K synthetic sequences
- hours: not stated | hours only claimed: none | episodes: not stated
- year: 2024
- organisation: University of Bristol et al.
- licence: not stated (class: not stated)
- access: not stated (class: not stated)
- link (paper): https://arxiv.org/abs/2412.04592
- part of: EPIC-KITCHENS-100. Its hours are counted there, not added again to the index's total
- note: Point tracking benchmark.

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