LeafDet vs. YOLOv8n: Model Performance Comparison

Vaskor Mostafa's dataset compares the LeafDet model against the YOLOv8n baseline. The dataset is a 5.5 KB Excel file, last updated on May 22, 2026. It is shared under a CC-BY-4.0 license on the figshare platform.

Use Cases

• Benchmarking object detection model performance based on the described comparison.
• Analyzing the relative strengths of a specialized model (LeafDet) versus a general-purpose baseline (YOLOv8n).
• Informing model selection for leaf detection tasks in agricultural AI projects.

Strengths

• Dataset is small (5.5 KB), facilitating quick download and inspection.
• Explicitly compares two named models (LeafDet and YOLOv8n), providing a clear focus.
• Has a specific license (CC-BY-4.0) permitting reuse with attribution.

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

Vaskor Mostafa

Collection Method

Likely contains metrics from a model evaluation experiment.

Time Range

Dataset last updated May 22, 2026; temporal coverage of underlying data is unknown.

Freshness

Last updated 2026-05-22 18:00:33; freshness should be verified.

Geography

Spatial coverage is not specified.