EfficientNetV2 Model Performance Metrics for Solar Panel Maintenance

A 5.5 KB Excel file published on figshare by Montaser Abdelsattar in April 2026. It contains comparative training and validation performance metrics for EfficientNetV2 models during a feature extraction stage, likely related to computer vision for solar panel inspection.

Use Cases

• Benchmarking EfficientNetV2 model variants based on reported performance metrics like accuracy and recall.
• Analyzing model behavior during the feature extraction phase for computer vision tasks.
• Informing model selection for automated visual inspection of solar panels.
• Improving predictive maintenance procedures for renewable energy assets based on model performance data.

Strengths

• Dataset is small (5.5 KB), facilitating quick download and inspection.
• Released under a permissive CC-BY-4.0 license, allowing for reuse and modification.
• Focuses on a specific, applied domain: computer vision for renewable energy maintenance.

Limitations

• Row count and specific column definitions are unknown, limiting suitability assessment.
• Description metadata is limited; actual data quality and structure require manual inspection after download.
• The dataset's small size suggests it contains summary metrics, not raw image data.

Provenance

Source

figshare, author Montaser Abdelsattar.

Collection Method

Likely derived from experimental results of training computer vision models.

Time Range

Publication date is April 2026; temporal coverage of the underlying experiments is unknown.

Freshness

Last updated 2026-04-03 17:48:38; freshness should be verified.

Geography

Spatial coverage is not specified.