Datasets › 360+x: A Panoptic Multi-modal Scene Understanding Dataset

360+x: A Panoptic Multi-modal Scene Understanding Dataset

Introduced by Hao Chen et al. in 360+x: A Panoptic Multi-modal Scene Understanding Dataset1 Apr 2024 archive 2025-07-28

The 360+x dataset is a large-scale database that emphasizes a comprehensive multifaceted understanding of daily scenes. It provides diverse viewpoints and data modalities to emulate how humans obtain daily information in real-world scenarios. It includes 232 scene examples, each with an average duration of 6.2 minutes, spanning across 28 scene categories (comprising 15 indoor scenes and 13 outdoor scenes).

Every example in this dataset comprises the following components:

  • A third-person 360-degree panoptic video (5760 × 2880, 25 FPS) along with its frontal views version.
  • Multiple first-person binocular videos (2432 × 1216, 60 FPS) and their monocular counterparts.
  • Four-channel audio accompanied by directional binaural delay information.
  • Annotation: Scene class label and Temporal segments label.
  • Metadata: including textual scene descriptions, weather conditions, capture time, and GPS information.

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

No loader listed in the archive.

Tasks archive 2025-07-28

No task tagged in the archive.

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

No modality tagged.

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • 360+x: A Panoptic Multi-modal Scene Understanding Dataset

1 variant name, as the archive lists them.

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