May 15, 2020

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commaai/comma10k

commaai/comma10k

10k crowdsourced images for training segnets

repo name commaai/comma10k
repo link https://github.com/commaai/comma10k
homepage
language Python
size (curr.) 1563730 kB
stars (curr.) 235
created 2020-02-28
license MIT License

comma10k

Completion Progress Badge

This is the first 2,000 images of our internal comma10k dataset. After we clean up these new labels, we’ll release more. Learn more from the Medium post, or on the comma.ai discord in the #comma-pencil channel.

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It’s 10,000 pngs of real driving captured from the comma fleet. It’s MIT license, no academic only restrictions or anything.

Run ./viewer.py to see them with segnet overlay.

Directories

Categories of internal segnet

How can I help?

  1. Visit the Google Spreadsheet (request access to edit the spreadsheet if you haven’t already) and put your discord username in the “labeller” column for the mask(s) you’re working on and change the status to “In Progress”

  2. Start labelling! Useful label tools:

    • img-labeler
    • The included comma pencil tool
    • An external image manipulation tool such as GIMP/Krita (Free) or Adobe Photoshop (Paid) If you choose to use an external tool please ensure your color mode is set to 8-bit, and that antialiasing doesn’t change the colors on the edges of your mask.
  3. Fork this repository to your account using the “Fork” button in the top right

  4. Create a new branch from the master branch, and use your labelling tool of choice to label some images

  5. Open a pull request from your new branch to the master branch in the official repository to submit your changes!

  6. Visit the #comma-pencil channel on the comma.ai Discord for the latest news and chat about the project.

Beginner Tutorial

Using the comma pencil tool (only works with MacOS/Linux)

See the pencil folder.

cd pencil
pip install -r requirements.txt
python server.py

Then open a browser window to http://localhost:5000/

The Goal

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