Elastic YOLO Model Workflow for Blood Cell Detection

A 5.5 KB XLS file describing the workflow for the Elastic YOLO model, authored by Neha Margret Issac and last updated on 2026-05-12. The dataset is shared under a CC-BY-4.0 license on the figshare platform.

Use Cases

• Benchmarking object detection model performance based on the described workflow.
• Reproducing or adapting the Elastic YOLO model architecture for blood cell detection.
• Comparing workflow efficiency against other medical imaging detection pipelines.

Strengths

• Dataset is openly licensed (CC-BY-4.0), permitting reuse with attribution.
• File size is small (5.5 KB), facilitating quick download and inspection.

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 17:44:38; freshness should be verified.