This practical guide walks you through everything you need to conduct image classification using the ecoClassify SyncroSim package. It is ideal for biologists, conservation practitioners, students, and analysts looking to apply image classification in their monitoring or research programs without needing specialized expertise in machine learning. The training manual includes: An introduction to core image classification concepts Clear explanations of pixel-based, machine-learning workflows A complete walkthrough of the ecoClassify three-stage pipeline: Training, Predicting, and Post-Processing A hands-on tutorial with example datasets Guidance on accuracy assessment, best practices, and common pitfalls Appendices with troubleshooting steps, technical specifications, and key terminology For additional support working with SyncroSim or implementing image classification workflows, visit our Help Center for customized solutions.
