Context This dataset provides data images and labeled semantic segmentations captured via CARLA self-driving car simulator. The data was generated as part of the [Lyft Udacity Challenge][1] . This dataset can be used to train ML algorithms to identify semantic segmentation of cars, roads etc in an image. The data has 5 sets of 1000 images and corresponding labels. Content The data set contains sets of RGB and the corresponding semantic segments. See link below for details [http://carla.readthedocs.io/en/latest/cameras_and_sensors/#camera-semantic-segmentation][2] Acknowledgements [CARLA Self Driving Cars Simulator][3] Some of the data come from [https://github.com/ongchinkiat/LyftPerceptionChallenge/releases/download/v0.1/carla-capture-20180513A.zip][4] Inspiration Hope this will help self-driving car community. [1]: https://www.udacity.com/lyft-challenge [2]: http://carla.readthedocs.io/en/latest/cameras_and_sensors/#camera-semantic-segmentation [3]: http://carla.org [4]: https://github.com/ongchinkiat/LyftPerceptionChallenge/releases/download/v0.1/carla-capture-20180513A.zip