Elastic YOLO and Baseline YOLOv5 Per-Class Detection Metrics

Per-class detection metrics comparing Elastic YOLO and Baseline YOLOv5 models. The dataset is 5.5 KB in size and was last updated on May 12, 2026. It was authored by Neha Margret Issac and is shared under a CC-BY-4.0 license.

Use Cases

• Compare per-class precision and recall between Elastic YOLO and YOLOv5 based on the described detection metrics.
• Benchmark object detection model improvements for specific object categories.
• Analyze the trade-offs in performance metrics between a baseline and a modified model architecture.

Strengths

• Dataset is small (5.5 KB), facilitating quick download and inspection.
• License is clearly specified as CC-BY-4.0, allowing for open use.

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 17:44:39; freshness should be verified.