Comparison Across Different Number of Pulses and Images (ResNet-50, DRP)

A comparison dataset for computer vision models, specifically ResNet-50 and DRP, analyzing performance across varying numbers of pulses and images. The dataset was authored by Jung-Bin Park and last updated on June 4, 2026. It is a small dataset of 5.5 KB, available in XLS format under a CC-BY-4.0 license.

Use Cases

• Benchmark model performance based on the number of pulses mentioned in the description
• Compare image classification results based on the number of images mentioned in the description
• Analyze the relationship between input quantity and model accuracy for ResNet-50
• Evaluate the DRP model's performance relative to ResNet-50 under different conditions

Strengths

• Dataset is openly licensed under CC-BY-4.0, allowing for broad reuse.
• Specific model architectures (ResNet-50, DRP) are named, providing clear context.
• The dataset is small (5.5 KB), facilitating quick download and inspection.

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

Freshness

Last updated 2026-06-04 17:34:21; freshness should be verified.