from:http://research.comma.ai/
View on GitHubcommaai/research
the people's comma
the paper
the comma.ai driving dataset
7 and a quarter hours of largely highway driving. Enough to train what we had inBloomberg.
Examples
We present two Machine Learning Experiments to showpossible ways to use this dataset:

Training a steering angle predictor

Training a generative image model
Downloading the dataset
./get_data.sh
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.
Dataset structure
The dataset consists of 10 videos clips of variable size recorded at 20 Hzwith a camera mounted on the windshield of an Acura ILX 2016. In parallel to the videoswe 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 shapenumber_frames x 3 x 160 x 320 and uint8 type.One of thelog hdf5-datasets is called cam1_ptr and addresses the alignmentbetween camera frames and the other measurements.
Requirements
anaconda
tensorflow-0.9
keras-1.0.6
cv2
Hiring
Want a job at comma.ai?
Show us amazing stuff on this dataset
Credits
Riccardo Biasini, George Hotz, Sam Khalandovsky, Eder Santana, and Niel van der Westhuizen
Hosted on GitHub Pages — Theme by orderedlist
本研究介绍了一个基于实际驾驶数据集的驾驶模拟器学习项目。该数据集包含超过7小时的高速公路驾驶记录,可用于训练车辆转向预测及图像生成模型。通过两个实验展示了如何使用此数据集进行机器学习。
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