ResNet152V2 Model Classification Report on Test Set

ResNet152V2 Model Classification Report on Test Set is a 5.5 KB Excel file containing the classification performance metrics for a ResNet152V2 model on a test set. The dataset was authored by Ummer Shakeel and last updated on May 7, 2026. It is shared under a CC-BY-4.0 license on the figshare platform.

Use Cases

• Benchmarking the ResNet152V2 architecture based on the reported classification metrics.
• Analyzing model performance on a test set to identify strengths and weaknesses.
• Comparing classification results with other models or training regimes.
• Validating model evaluation methodologies using a concrete example.

Strengths

• Dataset is small (5.5 KB), facilitating quick download and inspection.
• Has a clear, permissive license (CC-BY-4.0) for reuse.
• Provides a specific, recent update timestamp (2026-05 07 17:41:01).

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.

Provenance

Source

figshare

Collection Method

Likely generated from evaluating a trained ResNet152V2 model.

Time Range

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Freshness

Last updated 2026-05-07 17:41:01; freshness should be verified.

Geography

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