Uco3D: Uncommon Objects in 3D

UnCommon Objects in 3D (Uco3D) is a dataset proposed for 3D object understanding. The dataset was created by Facebook Research, with the project page and code hosted on GitHub. The dataset was last updated on March 17, 2025.

Use Cases

• Train 3D object detection models based on the dataset's focus on uncommon objects.
• Benchmark 3D reconstruction algorithms using the provided 3D object data.
• Develop novel view synthesis methods for rare object categories mentioned in the description.

Strengths

• Project is associated with Facebook Research, suggesting institutional backing.
• Code and project page are publicly available, which may aid reproducibility.

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 is unknown, which may limit suitability assessment.

Provenance

Source

facebook

Freshness

Last updated 2025-03-17 13:56:41; freshness should be verified