KT-YOLO: Seasonal Performance Comparison for Object Detection Behaviors

A small dataset of 5.5 KB in XLS format compares the AP50 metric across seasons for different behaviors detected by the KT-YOLO model. The dataset was authored by Suoxiang Zhang and last updated on 2026-05-18. It is shared under a CC-BY-4.0 license on the figshare platform.

Use Cases

• Compare model performance across seasons based on the seasonal comparison mentioned in the description
• Analyze per-behavior detection accuracy based on the AP50 metric for different behaviors
• Benchmark the KT-YOLO object detection model against other models using its reported performance metrics

Strengths

• Dataset is small at 5.5 KB, facilitating quick download and inspection.
• Has a clear, permissive license (CC-BY-4.0) for reuse.
• Provides a specific performance metric (AP50) for model evaluation.

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 2026-05-18 17:31:50; freshness should be verified