Add demo gif

Author: EdjeElectronics

Train_TFLite2_Object_Detction_Model.ipynb

@@ -19,15 +19,18 @@
         "# TensorFlow Lite Object Detection API in Colab\n",
         "**Author:** Evan Juras, [EJ Technology Consultants](https://ejtech.io)\n",
         "\n",
-        "**Last updated:** 11/11/22\n",
+        "**Last updated:** 11/20/22\n",
         "\n",
         "**GitHub:** [TensorFlow Lite Object Detection](https://github.com/EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi)\n",
         "\n",
         "# Introduction\n",
         "\n",
         "This notebook uses [the TensorFlow 2 Object Detection API](https://github.com/tensorflow/models/tree/master/research/object_detection) to train an SSD-MobileNet model or EfficientDet model with a custom dataset and convert it to TensorFlow Lite format. By working through this Colab, you'll be able to create and download a TFLite model that you can run on your PC, an Android phone, or an edge device like the Raspberry Pi.\n",
         "\n",
-        "*GIF of custom TFLite model in action to be added here*\n",
+        "<p align=center>\n",
+        "<img src=\"https://s3.us-west-1.amazonaws.com/evanjuras.com/img/CoinDetectorDemo.gif\" height=\"350\"><br>\n",
+        "<i>Custom SSD-MobileNet-FPNLite model in action!</i>\n",
+        "</p>\n",
         "\n",
         "I made a YouTube video that walks through this guide step by step. I use a coin detection model as an example for the video. I recommend following along with the video while working through this notebook.\n",
         "\n",
@@ -1656,7 +1659,7 @@
     "colab": {
       "provenance": [],
       "toc_visible": true,
-      "authorship_tag": "ABX9TyPaop1AmGTNGbPa6RWCZfaS",
+      "authorship_tag": "ABX9TyM3+52g8zcyCZc+O2wbS+Te",
       "include_colab_link": true
     },
     "gpuClass": "standard",