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Playground

The MICCAI FLARE challenge submission is based on the Docker container. In order to get the entry qualification, participants should demonstrate their ability to encapsulate methods in Docker. We provide a playground for participants to practice. Participants should

  • Verify your grand-challenge account and join the playground.
  • Develop any segmentation method (e.g., U-Net) based on the training data and encapsulate the method by Docker.
  • Use Docker to predict the testing set and record 5 minutes of the predicting process as a video (mp4 format). The docker should finish the prediction of at least five cases in 5 minutes.


  • Submit the testing segmentation results here and send the following three items to MICCAI.FLARE@aliyun.com:
    • 1) download link to the recorded inference mp4 video; 
    • 2) the screenshot of your playground leaderboard results (Mean DSC>0.7).
    • Note: the email subject should be: FLARE24-Get Entry Number-teanname-Team Leader Name
  • After reviewing your submission, we will get back to you with an Entry Number, then you can join the FLARE24 Challenge.

If you have won an award in MICCAI FLARE21-23 or published an LNCS paper in MICCAI FLARE, this step can be exempt and you can directly go to Step 1. Your Entry Number is the Certificate Number in your award certificate or the paper link.

  • The FLARE23 proceeding is still in process. You can use the link to the accepted paper on openreview as the paper link.

If you have got the top 30% in other Docker-based Challenges in MICCAI 2022-23, you can also be exempt from Step 0. Please send supporting materials to MICCAI.FLARE@aliyun.com, we will get back to you with an Entry Number.