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Datasets › SceneNet

SceneNet

Introduced by Ankur Handa et al. in SceneNet: Understanding Real World Indoor Scenes With Synthetic Data1 Jan 2015 archive 2025-07-28

SceneNet is a dataset of labelled synthetic indoor scenes. There are several labeled indoor scenes, including:

11 Bedroom scenes with 428 objects
15 Office scenes with 1,203 objects
11 Kitchen scenes with 797 objects
10 Living Room scenes with 715 objects
10 Bathrooms with 556 objects

Source: https://robotvault.bitbucket.io/ Image Source: https://robotvault.bitbucket.io/big_scene.html

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 17 papers for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

Object Detection Semantic Segmentation 3D Reconstruction Scene Understanding Single-View 3D Reconstruction Surface Reconstruction

License archive 2025-07-28

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

SceneNet

1 variant name, as the archive lists them.

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