GSO-SAD: Google Scanned Objects with Symmetry Axis Annotations

Google Scanned Objects Symmetry Axis Dataset (GSO-SAD) is an extension of the Google Scanned Objects dataset, enriched with symmetry axis annotations for each 3D scanned object. The dataset is designed to assist in pose estimation tasks by providing explicit symmetry information for objects with geometric and texture symmetries. It was created by SEU-WYL and last updated on Hugging Face in April 2025.

Use Cases

• Train pose estimation models based on provided symmetry axis annotations.
• Benchmark symmetry detection algorithms on 3D scanned objects.
• Study the relationship between geometric and texture symmetries in real-world objects.

Strengths

• Extends the established Google Scanned Objects dataset with new annotations.
• Provides explicit symmetry axis labels for objects, which is a specific feature for pose estimation.

Limitations

• Dataset size, row count, and file formats are unknown, limiting suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Extension of the Google Scanned Objects (GSO) dataset.

Collection Method

Likely involves manual or algorithmic annotation of 3D scans.

Freshness

Last updated 2025-04-25 06:04:25