Benchmarking Elastic YOLO Against SOTA Models

Neha Margret Issac published a benchmarking dataset on figshare in May 2026. The dataset is 5.5 KB in size and is licensed under CC-BY-4.0. It likely contains performance metrics comparing the Elastic YOLO model against other state-of-the-art object detection models.

Use Cases

• Compare model accuracy based on reported benchmark metrics.
• Evaluate inference speed differences between Elastic YOLO and other models.
• Assess model efficiency trade-offs for potential deployment.

Strengths

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

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

figshare

Freshness

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