ShapeNetSem: 3D Object Models Annotated with Physical Attributes

ShapeNetSem is a subset of the ShapeNet repository, containing 3D models with rich physical attribute annotations. The archive is hosted by ShapeNet and was last updated on Hugging Face in September 2023. Users must agree to specific terms of use, restricting redistribution to research associates who also agree to the terms.

Use Cases

• Train 3D object recognition models based on annotated physical attributes.
• Develop scene understanding algorithms based on semantically labeled 3D shapes.
• Benchmark shape classification and segmentation tasks based on the rich annotations.
• Simulate physical interactions in virtual environments based on object attribute data.

Strengths

• Data is a subset of the established ShapeNet repository, suggesting a degree of curation.
• Annotations include physical attributes, which likely adds semantic depth beyond basic geometry.
• Last update was recorded on 2023-09-20, providing a known timestamp.

Limitations

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

Provenance

Source

ShapeNet

Collection Method

Likely a curated subset of the larger ShapeNet collection, annotated with physical attributes.

Time Range

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Freshness

Last updated 2023-09-20 14:59:59; freshness should be verified.

Geography

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