EfficientNetV2 Model Variants: Comparison of Size, Memory, and Computational Complexity

A tabular dataset comparing model size, memory requirements, and computational complexity across EfficientNetV2 variants. The 5.5 KB Excel file was authored by Montaser Abdelsattar and last updated in April 2026. The dataset likely contains metrics for models applied to computer vision tasks, such as solar panel maintenance.

Use Cases

• Benchmarking model efficiency for deployment on resource-constrained devices based on the comparison of memory requirements and computational complexity.
• Selecting an appropriate EfficientNetV2 variant for a specific task based on the trade-offs between model size and performance metrics.
• Informing preventive maintenance model design for renewable energy infrastructure based on the application context of solar panels mentioned in the tags.

Strengths

• Dataset is small (5.5 KB), facilitating quick download and inspection.
• Released under a permissive CC-BY-4.0 license, allowing for broad reuse.
• Focus on a specific, well-defined model family (EfficientNetV2) for a clear comparison.

Limitations

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

Provenance

Source

figshare, authored by Montaser Abdelsattar.

Collection Method

Likely compiled from model specifications or experimental results.

Time Range

null

Freshness

Last updated 2026-04-03 17:48:35; freshness should be verified.

Geography

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