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:
Training a steering angle predictor
Training a generative image model
or get it at archive.org
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
log list here.
These measurements are transformed into a uniform 100 Hz time base.
The dataset folder structure is the following:
+-- 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 320 and
One of the
log hdf5-datasets is called
cam1_ptr and 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