This work covers different techniques - the traditional ones and the latest methods profiting from deep learning and neural networks - to measure and describe content in digital images. The author presents the best of both worlds using hands-on Python examples that run directly in a browser and analyses the advantages and shortcomings of both approaches.
PD Dr. Matthias Schröter, Max-Planck-Institute for Dynamics and Self-Organization, D-37077 Göttingen, Germany.
