Detailed Training Configurations for Pose Estimation Models

Avinash Bansal published this 9.5 KB Excel file on figshare in April 2026. The table provides detailed training configurations for pose estimation models, corresponding to results in a published research paper. Its small size suggests it is a focused, supplementary dataset.

Use Cases

• Reproduce experimental results based on the detailed training configurations.
• Benchmark new pose estimation models using the documented hyperparameter settings.
• Analyze the relationship between training parameters and model performance as referenced in the linked research table.

Strengths

• File size is precisely 9.5 KB, indicating a concise and focused dataset.
• Has a clear link to a published research article (PLOS ONE), providing academic context.
• Released under the permissive CC-BY-4.0 license, allowing for broad reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare, authored by Avinash Bansal.

Collection Method

Likely compiled as supplementary material for a research publication.

Time Range

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Freshness

Last updated 2026-04 21 17:44:19; freshness should be verified.

Geography

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