Add tree detection solution using YOLOv8

[oopsStranger]

Tree Detection and Localization — YOLOv8

Approach

Fine-tuned YOLOv8n on a manually annotated dataset of tree and sapling images to detect and localize trees using bounding boxes.

What's included

• train.py — training script
• predict.py — prediction script with bounding box output
• validate.py — model validation script
• weights/best.pt — best trained model weights
• test_images/ — sample test images
• data.yaml — dataset configuration
• README.md — full documentation

Model Performance

Metric	Value
Precision	0.637
Recall	0.463
mAP50	0.558
mAP50-95	0.292

Dataset

• Manually annotated tree and sapling images
• Open-license tree images annotated manually
• Total: ~554 images (415 train, 139 val)