This demo project contains datasets that can be used to learn how to use the DetecDiv software. It contains : Raw microscopy images provided as individual .tiff files ( brightfield and fluorescence image series) Region of interests (ROIs) processed by DetecDiv to perform various classification tasks 3 different classification models that include all relevant information: Classifier definition parameters Training procedure parameters A trained classifier A formatted ground truth dataset ready to perform training An unformatted training and test set (ROIs) used to manually annotate images before training the classifier This demo project allows the user to test all the features of the graphical user interface of DetecDiv. For further details regarding the software and its applications, please refer to: DetecDiv, a deep-learning platform for automated cell division tracking and replicative lifespan analysis Théo Aspert, Didier Hentsch, Gilles Charvin https://doi.org/10.1101/2021.10.05.463175