from ultralytics import YOLO
from huggingface_hub import hf_hub_download

# Download weights from Hugging Face
model_path = hf_hub_download(repo_id="Tuzelkhan/drone-yolov8", filename="best.pt")

# Load model
model = YOLO(model_path)

# Predict on an image
results = model.predict(source="path/to/drone_image.jpg", conf=0.25, save=True)

# Show results
for result in results:
    result.show()

📊 Details

Architecture: YOLOv8
Task: Object Detection
Format: PyTorch Checkpoint (best.pt)