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GitHub describes it as dataset and code for 2016 paper "Learning a Driving Simulator". The repository metadata lists Python as its primary language. The metadata lists the BSD-3-Clause license. This article stays within the project description and details documented in the GitHub repository README.

GitHub describes it as dataset and code for 2016 paper "Learning a Driving Simulator". The repository metadata lists Python as its primary language. The metadata lists the BSD-3-Clause license. The README describes the project this way: 7 and a quarter hours of largely highway driving. Enough to train what we had in Bloomberg.

The README section "Downloading the dataset" states: 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 README section "Dataset structure" states: 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 README section "Dataset structure" states: 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 uint8 type. One of the log hdf5-datasets is called cam1 ptr and addresses the alignment between camera frames and the other measurements.

The repository README is the source for this review. It does not replace a local installation or an independent test.

• Source 1 · Project repository
• Source 2 · README