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commaai/research resource

dataset and code for 2016 paper "Learning a Driving Simulator" observed · 2026-08-28

github.com/commaai/research · Python · BSD-3-Clause (permissive) observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 3682
  • days_rel: n/a
  • days_push: 1478
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

4123 stars · 1157 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

The comma.ai driving dataset with accompanying code for the 2016 paper 'Learning a Driving Simulator'. It contains ~7.25 hours of highway driving video at 20 Hz plus synchronized vehicle telemetry (speed, steering angle, GPS, gyroscope) in HDF5 format, with example experiments for steering angle prediction and generative driving image models.

Use cases

  • train a steering angle predictor from driving video
  • train a generative model that simulates driving images
  • research datasets for autonomous driving
  • learn deep learning with real car sensor data
  • download highway driving footage with telemetry
  • reproduce the Learning a Driving Simulator paper

When to choose

  • you need real-world driving video paired with steering/speed/GPS logs for ML research
  • you want to reproduce or extend the 2016 driving simulator paper experiments
  • you're studying computer vision or generative models on automotive data

When to avoid

  • you need a production driving simulator or openpilot software - this is research data only
  • you need commercial-use rights - the dataset is CC BY-NC-SA 3.0
  • you need modern tooling - the examples use TensorFlow 0.9 and Keras 1.0.6
  • you need urban or off-highway driving data - footage is largely highway

Facets

dataset · maturity maintenance

machine-learning computer-vision data-science machine-learning autonomous-vehicles computer-vision data-science python cross-platform driving-dataset autonomous-driving steering-prediction generative-models research-paper hdf5 comma-ai

1 source

Member repositories

RepositoryRoleHealth v2
commaai/researchmain32

For agents

markdown · JSON · MCP: product_card(name="commaai/research")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem