Getting Started with the CellMap Segmentation Challenge
Welcome to the CellMap Segmentation Challenge! This guide will help you get started with understanding the challenge, exploring the data, and submitting your results.
The CellMap Segmentation Challenge invites participants to advance machine learning for electron microscopy (EM) segmentation. Using a diverse, meticulously annotated dataset of eFIB-SEM images, this challenge aims to improve the segmentation of organelles and subcellular structures.
To learn more:
The datasets for this challenge feature nearly 300 annotated training crops derived from over 20 diverse eFIB-SEM datasets, representing more than 40 unique organelle classes.
To dive deeper:
Participants can access the CellMap Segmentation Challenge data by following these steps:
To participate in the challenge and make submissions, you must log in using your GitHub account:
Once logged in, you’ll be able to access submission features and manage your participation.
To participate, your submission must follow specific guidelines for file formats and evaluation criteria:
When you're ready to submit:
Track, edit, or update your submissions via the My Submissions page. You can also manage team-related information here.
If you have questions or run into technical issues, please reach out to our support team.
Our expectation is that the GitHub repository containing the segmentation model you developed and used to create the Predictions and the Data (including all relevant code, model weights, logs, validation metrics and anything else needed for someone else to access and use your model) will be a public repository under the 3-clause BSD license or another open source license. This is in service of our core belief in open science.