Cornell Grasping Dataset: Annotation Statistics

Annotation Statistics of the Cornell Grasping Dataset. This 5.5 KB Excel file was published by author Xiao Xiao on figshare. The dataset was last updated on 2026-05-29.

Use Cases

• Evaluate annotation quality and consistency for the Cornell Grasping Dataset based on statistical metrics
• Compare annotation methodologies for robotic grasping datasets based on the provided statistics
• Inform the development of new annotation protocols for object manipulation datasets
• Benchmark machine learning models for grasp detection against established annotation baselines

Strengths

• Data is openly available under the CC-BY-4.0 license
• File size is a compact 5.5 KB, enabling quick download and inspection
• Last update timestamp (2026-05-29) is explicitly provided

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download
• Row count and column definitions are unknown, which may limit suitability assessment
• Data is very small in scale (5.5 KB), suggesting limited scope

Provenance

Source

figshare, author Xiao Xiao

Freshness

Last updated 2026-05-29 17:44:51; freshness should be verified