Machine Learning Training Configuration for Data Augmentation Experiments

Avinash Bansal published a training configuration table for data augmentation experiments on figshare in April 2026. The 5.5 KB XLS file corresponds to results presented in a linked academic paper. The dataset is licensed under CC-BY-4.0.

Use Cases

• Replicate machine learning experiments based on the described training configuration.
• Analyze the impact of data augmentation parameters on model performance.
• Benchmark new data augmentation techniques against the documented setup.

Strengths

• Directly linked to a published academic paper (PLOS ONE).
• Small file size (5.5 KB) enables quick download and inspection.
• Clear CC-BY-4.0 license for open reuse.

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

Avinash Bansal via figshare.

Collection Method

Likely generated as part of academic research on data augmentation.

Time Range

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Freshness

Last updated 2026-04-21 17:44:20; freshness should be verified.

Geography

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