Datasets › EgoHands
EgoHands
The EgoHands dataset contains 48 Google Glass videos of complex, first-person interactions between two people. The main intention of this dataset is to enable better, data-driven approaches to understanding hands in first-person computer vision. The dataset offers
- high quality, pixel-level segmentations of hands
- the possibility to semantically distinguish between the observer’s hands and someone else’s hands, as well as left and right hands
- virtually unconstrained hand poses as actors freely engage in a set of joint activities
- lots of data with 15,053 ground-truth labeled hands
Source: Lending A Hand: Detecting Hands and Recognizing Activities in Complex Egocentric Interactions
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 34 papers for it but never published that list.
Dataset loaders archive 2025-07-28
1 loader as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
License archive 2025-07-28
Unknown
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- EgoHands
1 variant name, as the archive lists them.
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