Performance Comparison of Grasping Networks on the Cornell Grasp Dataset

A 5.5 KB Excel file uploaded by Xiao Xiao on May 29, 2026. The dataset provides a performance comparison of various grasping networks evaluated on the Cornell Grasp Dataset, a benchmark for robotic grasping.

Use Cases

• Benchmarking new grasping network architectures based on the reported performance metrics.
• Analyzing the relative strengths and weaknesses of different grasping models.
• Selecting a pre-trained model for robotic manipulation tasks based on comparative results.

Strengths

• Dataset is small (5.5 KB), facilitating quick download and inspection.
• Released under the permissive CC-BY-4.0 license, allowing for broad reuse and sharing.

Limitations

• Row count and specific column definitions are unknown, limiting initial assessment of data structure.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare, uploaded by Xiao Xiao.

Freshness

Last updated 2026-05-29 17:44:52; freshness should be verified.