Updates to Annotations README

annotations/README.md

@@ -1,12 +1,74 @@
-## Annotated Datasets
+# Annotated Driving Dataset
 
-###Downloads 
 
-| Preview        | Size           | Download URL  |
-| ------------- |:-------------:| -----:|
-| ![](./images/auttico.png)     | 3.3 GB | http://bit.ly/udacity-annotations-autti |
-| ![](./images/crowdai.png)    | 1.5 GB      | http://bit.ly/udacity-annoations-crowdai |
+## Dataset 1 
 
+![](./images/crowdai.png)
 
-
+The dataset includes driving in Mountain View California and neighboring cities during daylight conditions. It contains over 65,000 labels across 9,423 frames collected from a Point Grey research cameras running at full resolution of 1920x1200 at 2hz. The dataset was annotated by [CrowdAI](http://crowdai.com) using a combination of machine learning and humans. 
 
+#### Labels 
+
+- Car 
+- Truck 
+- Pedestrian 
+
+#### CSV Format
+
+- xmin
+- xmax
+- ymin
+- ymax
+- frame
+- label
+- preview url for frame
+
+<table>
+<tr>
+    <td>Size</td>
+    <td>1.5 GB</td>
+</tr>
+<tr>
+    <td>Annotator</td>
+    <td><a href="http://crowdai.com">CrowdAI</td>
+</tr>
+</table>
+
+###[Download](http://bit.ly/udacity-annoations-crowdai)
+
+
+## Dataset 2 
+
+![](./images/auttico.png)
+
+This dataset is similar to dataset 1 but contains additional fields for occlusion and an additional label for traffic lights. The dataset was annotated entirely by humans using [Autti](http://autti.co) and is slightly larger with 15,000 frames. 
+
+#### Labels 
+
+- Car 
+- Truck 
+- Pedestrian
+- Street Lights 
+
+#### CSV Format
+- frame 
+- xmin
+- ymin
+- xmax
+- ymax
+- occluded
+- label
+- attributes (Only appears on traffic lights)
+
+<table>
+<tr>
+    <td>Size</td>
+    <td>3.3 GB</td>
+</tr>
+<tr>
+    <td>Annotator</td>
+    <td><a href="http://autti.co/">Autti</td>
+</tr>
+</table>
+
+###[Download](http://bit.ly/udacity-annotations-autti)