minor notebook cleanup

Author: Matt Sokoloff

examples/basics/data_rows.ipynb

@@ -40,7 +40,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from labelbox import Project, Dataset, DataRow, Client\n",
+    "from labelbox import DataRow, Client\n",
     "import uuid\n",
     "import os"
    ]

examples/basics/datasets.ipynb

@@ -37,7 +37,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from labelbox import Client, Dataset, DataRow\n",
+    "from labelbox import Client\n",
     "import uuid\n",
     "import os"
    ]

examples/basics/ontologies.ipynb

@@ -31,7 +31,7 @@
    "outputs": [],
    "source": [
     "from labelbox.schema.ontology import OntologyBuilder, Tool, Classification, Option\n",
-    "from labelbox import Project, Client\n",
+    "from labelbox import Client\n",
     "import os"
    ]
   },

examples/basics/projects.ipynb

@@ -39,7 +39,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from labelbox import Client, Project\n",
+    "from labelbox import Client\n",
     "import os"
    ]
   },

examples/label_export/images.ipynb

@@ -5,7 +5,8 @@
    "id": "owned-import",
    "metadata": {},
    "source": [
-    "# Image Data Export"
+    "# Image Data Export\n",
+    "* Export labels from image annotation projects"
    ]
   },
   {

examples/label_export/text.ipynb

@@ -5,7 +5,8 @@
    "id": "employed-baptist",
    "metadata": {},
    "source": [
-    "# Text Data Export"
+    "# Text Data Export\n",
+    "* Export labels from text annotation projects"
    ]
   },
   {

examples/label_export/video.ipynb

@@ -5,7 +5,8 @@
    "id": "employed-baptist",
    "metadata": {},
    "source": [
-    "# Video Data Export"
+    "# Video Data Export\n",
+    "* Export labels from video annotation projects"
    ]
   },
   {

examples/model_assisted_labeling/image_mal.ipynb

@@ -8,6 +8,14 @@
     "# Image MAL"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "intellectual-idaho",
+   "metadata": {},
+   "source": [
+    "* Upload model inferences for image tasks (point, polygon, bounding box, segmentation, polyline)"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,

examples/model_assisted_labeling/mal-with-subclasses.ipynb

@@ -6,7 +6,8 @@
    "metadata": {},
    "source": [
     "# MAL With Subclasses\n",
-    "* This is the same task as the image one but we are going to see if the user has a handbad on them and upload that as an option"
+    "* Image MAL with subclasses.\n",
+    "* This is the same task as the image mal tutorial but we are going to add a subclass for whether or not the person in the image is holding a bag."
    ]
   },
   {
@@ -27,7 +28,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 2,
    "id": "committed-richards",
    "metadata": {},
    "outputs": [],
@@ -48,7 +49,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "id": "exclusive-elephant",
    "metadata": {},
    "outputs": [],

examples/model_assisted_labeling/ner_mal.ipynb

@@ -5,7 +5,8 @@
    "id": "restricted-place",
    "metadata": {},
    "source": [
-    "# Named Entity Recognition MAL"
+    "# Named Entity Recognition MAL\n",
+    "* Upload model inferences for NER tasks"
    ]
   },
   {
@@ -19,7 +20,7 @@
     "!pip install flair\n",
     "!pip install wikipedia-api\n",
     "!pip install ndjson\n",
-    "!pip nstall requests"
+    "!pip install requests"
    ]
   },
   {