YOLOv5-YOLOv10 Detection Performance and Model Metrics on RGB and Multispectral Data

A 9.5 KB Excel file containing detection performance, loss behavior, and model complexity metrics. The dataset was authored by R. P. Karthik and last updated on 2026-05-28. It compares YOLOv5 through YOLOv10 models on RGB and multispectral datasets.

Use Cases

• Benchmarking YOLO model performance across versions based on detection metrics
• Analyzing loss behavior trends during model training
• Comparing model complexity and efficiency between YOLO variants
• Evaluating object detection performance on multispectral versus RGB data

Strengths

• Dataset is small (9.5 KB), facilitating quick download and inspection.
• Explicitly compares six major YOLO model versions (v5 through v10).
• Includes evaluation on both RGB and multispectral data modalities.

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

R. P. Karthik via figshare

Freshness

Last updated 2026-05-28 17:45:36; freshness should be verified.