Epoch-wise Training and Validation Metrics for Elastic YOLO and YOLOv5

5.5 KB of epoch-wise comparison data for Elastic YOLO and YOLOv5 training and validation metrics, authored by Neha Margret Issac. The dataset is stored in an XLS file and was last updated on May 12, 2026. It is shared under a CC-BY-4.0 license on figshare.

Use Cases

• Compare model convergence rates between Elastic YOLO and YOLOv5 based on epoch-wise metrics.
• Analyze validation performance trends during training for the two object detection architectures.
• Benchmark the training stability of Elastic YOLO against YOLOv5.
• Visualize the progression of key training and validation metrics over epochs.

Strengths

• Dataset is small (5.5 KB), facilitating quick download and inspection.
• Provides a direct, epoch-wise comparison between two specific object detection models.

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 2026-05-12 17:44:42; freshness should be verified.