"Multi-label image classification on disaster images using deep learning" focuses on using deep learning models (like CNNs) to automatically assign multiple labels to disaster images, identifying various disaster types, severity, or impacted areas. This enables efficient analysis of complex, multi-faceted disaster scenarios, aiding in faster response and resource management.