Epoch-wise Loss Analysis for Elastic YOLO and YOLOv5

Epoch-wise analysis of individual and total loss for Elastic YOLO and YOLOv5 object detection models. The dataset is a 5.5 KB XLS file authored by Neha Margret Issac and published under a CC-BY-4.0 license on figshare. It was last updated on May 12, 2026.

Use Cases

• Compare training convergence between Elastic YOLO and YOLOv5 based on loss metrics.
• Analyze the behavior of individual loss components (e.g., classification, box regression) during model training.
• Benchmark model performance across training epochs for object detection tasks.
• Validate training stability and identify potential overfitting or underfitting patterns.

Strengths

• Dataset is small (5.5 KB), ensuring quick download and easy inspection.
• Data is structured in an XLS format, which is widely compatible with common analysis tools.
• It has a clear, permissive license (CC-BY-4.0) for reuse.

Limitations

• Row count is unknown, which may limit suitability assessment for large-scale analysis.
• 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 2026-05-12 17:44:43; freshness should be verified.