Training and Validation Set Sizes for Three Otoscopic Image Datasets

5.5 KB of tabular data detailing the number of images allocated for model training, internal validation, and external validation across three otoscopic image datasets. The dataset was authored by Yixi Xu and last updated on May 7, 2026. It is provided under a CC-BY-4.0 license.

Use Cases

• Planning model training resources based on the provided dataset sizes.
• Designing validation strategies based on the split sizes for internal and external validation.
• Comparing the scale of different otoscopic image datasets for meta-analysis.
• Replicating experimental splits for model comparison studies.

Strengths

• Clear licensing under CC-BY-4.0 for open reuse.
• Specific file size of 5.5 KB indicates a concise, focused metadata table.
• Explicitly states the purpose: detailing dataset splits for three image collections.

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

Collection Method

Likely compiled from the metadata of three separate otoscopic image studies.

Time Range

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Freshness

Last updated 2026-05-07 17:30:06; freshness should be verified.

Geography

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