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.