Detection Results on the Cornell Grasping Dataset

Detection Results on the Cornell Grasping Dataset, a 5.5 KB Excel file authored by Xiao Xiao and last updated on May 29, 2026. The dataset is shared under a CC-BY-4.0 license on the figshare platform. Its specific contents likely consist of detection metrics or results from an evaluation on the Cornell Grasping Dataset.

Use Cases

• Evaluate grasping detection model performance based on the described detection results.
• Benchmark new grasping algorithms against reported results on the Cornell Grasping Dataset.
• Analyze detection metrics for robotic manipulation tasks based on the dataset's focus.

Strengths

• Dataset is small (5.5 KB), facilitating quick download and inspection.
• Shared under a permissive CC-BY-4.0 license, allowing for broad reuse and modification.
• Last update timestamp (2026-05-29 17:44:53) is explicitly provided.

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 for large-scale analysis.

Provenance

Source

figshare, author Xiao Xiao

Freshness

Last updated 2026-05-29 17:44:53; freshness should be verified.