Author: lexfridman

tutorial_driving_scene_segmentation/mit_driverseg_sample.mp4 renamed to tutorial_driving_scene_segmentation/mit_driveseg_sample.mp4

@@ -95,7 +95,7 @@
     "    <img src=\"https://github.com/tensorflow/models/blob/master/research/deeplab/g3doc/img/vis2.png?raw=true\" width=600></br>\n",
     "</p>\n",
     "\n",
-    "In the driving context, we aim to obtain a semantic understanding of the front driving scene throught the camera input. This is important for driving safety and an essential requirement for all levels of autonomous driving. The first step is to build the model and load the pre-trained weights. In this dmeo, we use the model checkpoint trained on [Cityscapes](https://www.cityscapes-dataset.com/) dataset.\n",
+    "In the driving context, we aim to obtain a semantic understanding of the front driving scene throught the camera input. This is important for driving safety and an essential requirement for all levels of autonomous driving. The first step is to build the model and load the pre-trained weights. In this demo, we use the model checkpoint trained on [Cityscapes](https://www.cityscapes-dataset.com/) dataset.\n",
     "\n",
     "<p align=\"center\">\n",
     "    <img src=\"https://www.cityscapes-dataset.com/wordpress/wp-content/uploads/2015/07/muenster00.png\" width=600></br>\n",