Datasets › EGO-CH-Gaze

EGO-CH-Gaze (Learning to Detect Attended Objects in Cultural Sites with Gaze Signals and Weak Object Supervision)

Introduced by Michele Mazzamuto et al. in Learning to Detect Attended Objects in Cultural Sites with Gaze Signals and Weak Object Supervision23 Apr 2024 archive 2025-07-28

To study the problem of weakly supervised attended object detection in cultural sites, we collected and labeled a dataset of egocentric images acquired from subjects visiting a cultural site. The dataset has been designed to offer a snapshot of the subject’s visual experience while visiting a museum and contains labels for several artworks and details attended by the subjects.

Benchmarks archive 2025-07-28

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Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

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Tasks archive 2025-07-28

License archive 2025-07-28

https://opensource.org/license/mit

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • EGO-CH-Gaze

1 variant name, as the archive lists them.

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