🌳 Tree Disease Detection with YOLOv8

This model detects unhealthy/diseased trees in aerial UAV imagery. Upload an image or use one of the examples below to detect diseased trees.

Current Model: Tree Disease Detection Model (best_model.pt)
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Examples
Upload Image Confidence Threshold IoU Threshold

About this Model

  • Architecture: YOLOv8s
  • Dataset: PDT Dataset
  • mAP50: 0.933
  • mAP50-95: 0.659
  • Precision: 0.878
  • Recall: 0.863
  • Classes: 1 (unhealthy trees)

Usage Tips

  • This model works best with aerial/UAV imagery
  • Optimal input resolution: 640x640 pixels
  • Adjust confidence threshold to filter detections
  • Lower IoU threshold for overlapping trees

Model Card | Dataset