YOLOv8 wheat head detection model training.ipynb

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   "source": [
    "from ultralytics import YOLO\n",
    "import torch\n",
    "\n",
    "#set dataset path\n",
    "dataset = #path to dataset yaml file\n",
    "\n",
    "#set device to gpu\n",
    "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
    "\n",
    "# Load a pretrained YOLO model (recommended for training)\n",
    "model = YOLO('yolov8n.pt')\n",
    "\n",
    "# Train the model using the dataset for 50 epochs\n",
    "results = model.train(data=dataset, epochs=50)\n",
    "\n",
    "# Evaluate the model's performance on the validation set\n",
    "results = model.val()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Perform object detection on an image using the model\n",
    "results = model(#path to image)"
   ]
  }
 ],
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