dataset and code for 2016 paper "Learning a Driving Simulator"
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7 and a quarter hours of largely highway driving. Enough to train what we had in Bloomberg.
We present two Machine Learning Experiments to show possible ways to use this dataset:
or get it at archive.org comma dataset
45 GB compressed, 80 GB uncompressed
dog/2016-01-30--11-24-51 (7.7G) dog/2016-01-30--13-46-00 (8.5G) dog/2016-01-31--19-19-25 (3.0G) dog/2016-02-02--10-16-58 (8.1G) dog/2016-02-08--14-56-28 (3.9G) dog/2016-02-11--21-32-47 (13G) dog/2016-03-29--10-50-20 (12G) emily/2016-04-21--14-48-08 (4.4G) emily/2016-05-12--22-20-00 (7.5G) frodo/2016-06-02--21-39-29 (6.5G) frodo/2016-06-08--11-46-01 (2.7G)
Dataset referenced on this page is copyrighted by comma.ai and published under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License. This means that you must attribute the work in the manner specified by the authors, you may not use this work for commercial purposes and if you alter, transform, or build upon this work, you may distribute the resulting work only under the same license.
The dataset consists of 10 videos clips of variable size recorded at 20 Hz with a camera mounted on the windshield of an Acura ILX 2016. In parallel to the videos we also recorded some measurements such as car's speed, acceleration, steering angle, GPS coordinates, gyroscope angles. See the full
loglist here. These measurements are transformed into a uniform 100 Hz time base.
The dataset folder structure is the following:
bash +-- dataset | +-- camera | | +-- 2016-04-21--14-48-08 | | ... | +-- log | | +-- 2016-04-21--14-48-08 | | ...
All the files come in hdf5 format and are named with the time they were recorded. The camera dataset has shape
number_frames x 3 x 160 x 320and
uint8type. One of the
loghdf5-datasets is called
cam1_ptrand addresses the alignment between camera frames and the other measurements.
Want a job at comma.ai?
Show us amazing stuff on this dataset
Riccardo Biasini, George Hotz, Sam Khalandovsky, Eder Santana, and Niel van der Westhuizen