We show how machine learning techniques can be applied for the classification of topological phases in finite leaky photonic lattices using limited measurement data. We propose an approach based solely on a single real-space bulk intensity image. thus exempt from complicated phase retrieval procedures. In particular. https://www.nutritionesplus.shop/product-category/jellies/