Drone Object Detection with YOLOv8

This repository contains a fine-tuned YOLOv8 model for detecting drones.

πŸš€ Quickstart

Install required libraries:

pip install ultralytics huggingface_hub

Run inference in Python:

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()

πŸ“Š Details

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