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examples/tutorial.ipynb

@@ -27,9 +27,9 @@
         "\n",
         "\n",
         "<br>\n",
-        "  <a href=\"https://bit.ly/yolov5-paperspace-notebook\"><img src=\"https://assets.paperspace.io/img/gradient-badge.svg\" alt=\"Run on Gradient\"></a>\n",
+        "  <a href=\"https://console.paperspace.com/github/ultralytics/ultralytics\"><img src=\"https://assets.paperspace.io/img/gradient-badge.svg\" alt=\"Run on Gradient\"/></a>\n",
         "  <a href=\"https://colab.research.google.com/github/ultralytics/ultralytics/blob/main/examples/tutorial.ipynb\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"></a>\n",
-        "  <a href=\"https://www.kaggle.com/ultralytics/yolov5\"><img src=\"https://kaggle.com/static/images/open-in-kaggle.svg\" alt=\"Open In Kaggle\"></a>\n",
+        "  <a href=\"https://www.kaggle.com/ultralytics/yolov8\"><img src=\"https://kaggle.com/static/images/open-in-kaggle.svg\" alt=\"Open In Kaggle\"></a>\n",
         "<br>\n",
         "\n",
         "Welcome to the Ultralytics YOLOv8 🚀 notebook! YOLOv8 is the latest version of the YOLO (You Only Look Once) object detection and image segmentation model developed by <a href=\"https://ultralytics.com\">Ultralytics</a>. This notebook serves as the starting point for exploring the various resources available to help you get started with YOLOv8 and understand its features and capabilities.\n",
@@ -49,7 +49,7 @@
       "source": [
         "# Setup\n",
         "\n",
-        "Clone GitHub [repository](https://github.com/ultralytics/ultralytics), install [dependencies](https://github.com/ultralytics/ultralytics/blob/master/requirements.txt) and check PyTorch and GPU."
+        "Pip install `ultralytics` and [dependencies](https://github.com/ultralytics/ultralytics/blob/master/requirements.txt) and check PyTorch and GPU."
       ]
     },
     {
@@ -62,7 +62,7 @@
         "outputId": "276a3983-eedd-4eeb-9701-2ae78e1b4c44"
       },
       "source": [
-        "# Pip install (recommended)\n",
+        "# Pip install method (recommended)\n",
         "%pip install ultralytics\n",
         "import ultralytics\n",
         "ultralytics.checks()"
@@ -82,7 +82,7 @@
     {
       "cell_type": "code",
       "source": [
-        "# Git clone (requires GitHub token)\n",
+        "# Git clone method (for development)\n",
         "!git clone https://github.com/ultralytics/ultralytics\n",
         "%pip install -e ultralytics\n",
         "import ultralytics\n",