F1-Scores for CNN and GAN-Augmented Models Across Three Datasets

F1-scores of baseline CNNs, CNN fusion and proposed GAN-augmented model across three datasets. The dataset is a 5.5 KB Excel file authored by R. Srivats and shared under a CC-BY-4.0 license. It was last updated on April 30, 2026.

Use Cases

• Compare baseline CNN performance to a CNN fusion model based on the reported F1-scores.
• Evaluate the effectiveness of GAN-augmented models against traditional CNNs based on the described metrics.
• Benchmark model performance across three distinct datasets using the provided F1-scores.

Strengths

• Dataset is small (5.5 KB), facilitating quick download and inspection.
• Provides a direct comparison of three model types (baseline CNN, CNN fusion, GAN-augmented) as stated in the description.
• Uses the F1-score, a standard metric for classification model evaluation.

Limitations

• Row count and specific column definitions are unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality and the identity of the three datasets require manual inspection after download.

Provenance

Source

R. Srivats via figshare

Freshness

Last updated 2026-04-30 17:55:55; freshness should be verified.