Before you set up your image analysis project, please contact us through the SBDI Support Center. We will then plan your project together, give you access to the system, and help you getting started. Once, you have access, you can follow the notebook specified below. 

Once you have access to to the system you can use the notebook 01_Project_Setup.ipynb in the KSO repo to create and configure a personal project, attach a YOLO dataset and get ready for training.

This webinar will give you an overview over all the analytical steps, including data preparation, project setup, training, inference, post-processing, as well as publication of models and data. 

Here is a reading list with a compilation of checkpoints, useful links, and important background information for everyone starting a machine learning project.