<p>Mean classification accuracies (%) and standard deviations of different methods on the

Kai Hu published a dataset on figshare in March 2026 containing mean classification accuracies and standard deviations for different methods on the COIL100 database. The dataset is a 5.5 KB XLS file. It provides benchmark results for pattern recognition and metric learning algorithms.

Use Cases

• Benchmarking pattern recognition algorithms based on reported classification accuracy.
• Comparing the performance of metric learning frameworks based on the provided results.
• Analyzing the stability of different methods based on the reported standard deviations.

Strengths

• Dataset is small (5.5 KB), facilitating quick download and inspection.
• Results are structured in a tabular XLS format, likely enabling straightforward analysis.
• Data is licensed under CC-BY-4.0, allowing for open reuse and redistribution.

Limitations

• Row count is unknown, which may limit 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

figshare, author Kai Hu

Collection Method

Likely contains aggregated experimental results from research.

Time Range

Publication date is March 2026; temporal coverage of the underlying experiments is unknown.

Freshness

Last updated 2026-03 25 17:44:01; freshness should be verified.

Geography

Spatial coverage is unknown.