Skip to content
forked from ddavid/fsoco

Formula Student Objects in Context Dataset for the Formula Student Driverless competitions

License

Notifications You must be signed in to change notification settings

E-TeamUnipi/fsoco

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

FSOCO

Formula Student Objects in Context

Amount of Contributors 25 Amount of labeled images 27546 Amount of labeled cones 237838

Visit the project's website and documentation and join the conversation on the Google Group

FSD pylon mosaic

Contributing

We have set a minimum contribution amount of 600 images.
Small enough not to be a large burden and large enough for the data set to grow naturally.

"We don't have any Data or Cones."

Sharing is caring. This data set lives from your contribution. If you don't have access to FS Cones we can provide you with raw data. This way, newer teams get an easy way to buy-in.

If you're interested in accessing this dataset:

  1. Write us an e-mail
  2. Upload data to shared Google Photos album
    1. On Settings choose High quality (free unlimited storage)
  3. Fork the repository
  4. Add labels to the repository
    1. If your labels use indices for the classes: Add shortTeamName-classes.txt to your label directory. See examples at labels/mms labels/elbflorace Please use zero-based indexing as in the examples for ease of integration into existing scripts.
  5. Update documentation
  6. [Add relevant scripts to the repository] OPTIONAL but highly encouraged
  7. Open pull request

The pictures are saved and shared through a Google Photos account created because of the available free unlimited storage without significant loss of quality.

Documentation

As we all know, documentation is key for good performance. Please help improve the documentation of this repository if you stumble upon something or if you add scripts. The documentation is hosted on GitHub, based on the docs/ directory in this repository and uses Markdown to make it as easy as possible to contribute. The landing page is based on docs/index.md.

Support

If you're interested in helping out, contact us: fsoco@municHMotorsport.de

About

Formula Student Objects in Context Dataset for the Formula Student Driverless competitions

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 97.2%
  • Shell 2.8%