Include method to access the mask url

Author: ovalle15

examples/basics/export_data.ipynb

@@ -345,20 +345,43 @@
     {
       "metadata": {},
       "source": [
-        "## How to access a `Mask` URL \n",
-        "Only applicable for Image and Video data types"
+        "## How to access a `mask` URL \n",
+        "\n",
+        "Annotations of the kind `ImageSegmentationMask` and `VideoSegmentationMask` can only be present in labels made on image or video data rows, respectively. In order to access the mask data, you must pass your Labelbox API key stored in `client.headers` in an API request.\n",
+        "\n",
+        "When you grab a URL from the mask annotation in the export, the `project_id` and `feature_id` will already be in place. Here, we provide the framework for structuring a URL with any project ID and feature ID."
       ],
       "cell_type": "markdown"
     },
     {
       "metadata": {},
       "source": [
-        "mask_url = f\"https://api.labelbox.com/api/v1/projects/{project_id}/annotations/{feature_id}/index/1/mask\"\n",
-        "req = urllib.request.Request(mask_url, headers=client.headers)\n",
+        "# Provide a project ID and feature ID. Alternatively, replace the entire mask_url with a URL grabbed from your export.\n",
+        "project_id = \"\"\n",
+        "feature_id = \"\"\n",
         "\n",
-        "## Print the image \n",
+        "mask_url = f\"https://api.labelbox.com/api/v1/projects/{project_id}/annotations/{feature_id}/index/1/mask\""
+      ],
+      "cell_type": "code",
+      "outputs": [],
+      "execution_count": null
+    },
+    {
+      "metadata": {},
+      "source": [
+        "# Make the API request \n",
+        "req = urllib.request.Request(mask_url, headers=client.headers)"
+      ],
+      "cell_type": "code",
+      "outputs": [],
+      "execution_count": null
+    },
+    {
+      "metadata": {},
+      "source": [
+        "# Print the image of the mask\n",
         "image = Image.open(urllib.request.urlopen(req))\n",
-        "image"
+        "image\n"
       ],
       "cell_type": "code",
       "outputs": [