Image classification was once a task that required domain expertise and the use of problem-specific models. Much of this has changed with the emergence of deep learning as general-purpose modeling technique for predictive tasks in computer vision. Both the machine learning literature and image classification contests are now dominated by deep learning models that often do not require domain expertise, since such models identify and extract features automatically, eliminating the need for feature engineering.
While academic economists have recently begun to import methods ...
