Datasets › EgoISM-HOI

EgoISM-HOI

Introduced by Rosario Leonardi et al. in Exploiting Multimodal Synthetic Data for Egocentric Human-Object Interaction Detection in an Industrial Scenario21 Jun 2023 archive 2025-07-28

EgoISM-HOI is a new multimodal dataset composed of synthetic and real images of egocentric human-objects interactions in an industrial environment with rich annotations of hands and objects. EgoISM-HOI contains a total of 39,304 RGB images, 23,356 depth maps and instance segmentation masks, 59,860 hand annotations, 237,985 object instances across 19 object categories and 35,416 egocentric human-object 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 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

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Modalities archive 2025-07-28

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Languages archive 2025-07-28

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Variants archive 2025-07-28

  • EgoISM-HOI

1 variant name, as the archive lists them.

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