ARKitScenes-SpatialLM: 5,047 Indoor Scenes for Oriented Object Detection

5,047 real-world indoor scenes captured using Apple's ARKit framework, preprocessed for SpatialLM training. The dataset is formatted for oriented object bounding box detection with large language models. It was created by Gen3DF and last updated on June 30, 2025.

Use Cases

• Training large language models for 3D object detection based on point cloud data.
• Developing models for oriented bounding box prediction in indoor scenes.
• Benchmarking spatial reasoning capabilities of multimodal AI systems.
• Research on 3D scene understanding derived from ARKit-captured data.

Strengths

• Contains 5,047 real-world indoor scenes.
• Data is specifically preprocessed for the SpatialLM training format.
• Point clouds and layouts are provided as compressed files.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Derived from the ARKitScenes dataset.

Collection Method

Captured using Apple's ARKit framework and preprocessed by Gen3DF.

Time Range

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Freshness

Last updated 2025-06-30 13:57:44; freshness should be verified.

Geography

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