edit ground_truth_labeling_jobs/3d_point_cloud_input_data_processing/3D-point-cloud-input-data-processing.ipynb

Author: EC2 Default User

ground_truth_labeling_jobs/3d_point_cloud_input_data_processing/3D-point-cloud-input-data-processing.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Create a 3D Point Cloud Labeling Job with Amazon SageMaker Ground Truth\n",
+    "# Create a 3D Point Cloud Labeling Job for Object Detection with Amazon SageMaker Ground Truth\n",
     "\n",
     "\n",
     "This notebook will demonstrate how you can pre-process your 3D point cloud input data to create an [object tracking labeling job](https://docs.aws.amazon.com/sagemaker/latest/dg/sms-point-cloud-object-tracking.html) and include sensor and camera data for sensor fusion. \n",
@@ -1008,7 +1008,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Acknowledgments\n",
+    "## Acknowledgments\n",
     "\n",
     "We would like to thank the KITTI team for letting us use this dataset to demonstrate how to prepare your 3D point cloud data for use in SageMaker Ground Truth."
    ]