Frequently asked questions
Q: When is the competition being held?
A: The competition is open from April 29 until June 22, 23:59 MSK, 2019. Winners will be announced at the Machines Can See conference.
Q: What are the ranking criteria?
A: The methods will be ranked according to TPR at FPR=1e-6. Details
Q: How to take part in the competition?
A: Choose "Log in" on the competition site. You will be able to create a team once registered at GitLab.
Q: How to register for the Machine Can See conference?
A: Participants of the competition are automatically registered to the Machines Can See conference.
Q: Is it possible to register for the competition after its starting date?
A: Yes, the registration will be open until the last day of the competition.
Q: What should I do to join the team to take part in a contest?
A: Please, contact support team.
Q: I’m not able to participate in the conference. Can I still take part in the competition?
A: At least one member from each top-ranked team should participate and present results of the team at the conference.
Q: How to access the repository?
A: Once a team is created, the repository should appear on the projects tab in GitLab.
Q: How to make a submission?
A: Submission details can be foundhere.
Q: When will my results appear on the leaderboard?
A: The progress status will appear in the CI / CD section of GitLab. The processing time will depend on the time it takes to train and test your solution.
Q: What should I do if the submission status is indicated as "Done" but my results do not appear on the leaderboard?
A: Check the output in the jobs section for errors. If there are no errors and the script has successfully terminated, the problem could be caused by the network or hardware issues. Please restart the submission or send the name of your team and the commit identifier to the support team.
Q: How to install packages for Python (pip packages)?
A: Add the list of packages to the file requirements.txt in the standard way.
Q: What environment will be used?
A: Docker based on nvidia/cuda:9.0-cudnn7-runtime
Q: How to install apt packages?
A: Add apt packages in the file
apt-packages.txt one package per line.
Q: Any advice on getting started?
A: In the repository you will see the
eval.py file, which contains the baseline model. File get_scores.py - you can check your result locally (main metrics of the competition).
Also you can ask questions in chat