Rules🚦¶

To participate in the OCELOT 2023 challenge, participants must accept the following rules:

• Anonymous registrations are not allowed. Participants should provide all the information during registration. All information must be complete and valid. Only participants with verified accounts can make submissions.

• No additional data is allowed for training and validation. However, publicly available pre-trained models (e.g. ImageNet pre-trained checkpoint) can be used. If so, participants should mention which pre-trained model is used with the public link for downloading it.

• The final ranking will be disclosed in the OCELOT 2023 challenge event at MICCAI 2023. Scores of test phases will be private until that moment. 

• In addition to the algorithm submission, participants are required to submit a report and GitHub repository URL during the test phase. It is not required during the validation phase. Details of each item are described on the Submission Instructions page.

• After the challenge ends, participants can publish papers with their results. Papers should cite the OCELOT paper. No embargo time is defined. The citation format is:

  @InProceedings{Ryu_2023_CVPR,
      author = {Ryu, Jeongun and Puche, Aaron Valero and Shin, JaeWoong and Park, Seonwook and Brattoli, Biagio and Lee, Jinhee and Jung, Wonkyung and Cho, Soo Ick and Paeng, Kyunghyun and Ock, Chan-Young and Yoo, Donggeun and Pereira, S\'ergio},
      title = {OCELOT: Overlapped Cell on Tissue Dataset for Histopathology},
      booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
      month = {June},
      year = {2023},
      pages = {23902-23912}
  }

*The challenge organizers reserve the right to update the rules without any notice.