The Udacity dataset is mainly composed of video frames taken from urban roads. It provides a total number of 404,916 video frames for training and 5,614 video frames for testing. This dataset is challenging due to severe lighting changes, sharp road curves and busy traffic.
Source: Learning to Steer by Mimicking Features from Heterogeneous Auxiliary NetworksPaper | Code | Results | Date | Stars |
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