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-"# CNN_Dashcam_Speed_Detector" 
+# CNN Dashcam Speed Detector 
+
+This project was inspired by comma.ai's Speed Challenge: given their training video (onboard dashcam video of 20400 frames @20fps) with the respective ground truth speeds, the objective is to train a model that will be able to predict the car's speed in another test video.
+
+## Dataset
+The dataset is composed by:
+* Training video (20400 frames @ 20fps) with respective ground truth speeds
+* Test video (10798 frames @ 20fps)
+
+The training video features Highway driving in the first part, and Town driving in the second (with intersections, stop signals, ...). Also, illumination conditions change a lot during the video, going through tunnels and under bridges. 
+
+Speed values are changing a lot too, being high and homogeneous during Highway sections, and slower and intermittent during city sections.  All of this makes the training video very heterogeneous in its features.
+
+The test video also shows both city and highway driving.