Spring’16 perClass course
Last week, we had our Spring 2016 course. This time we had a very nice group of professionals working on defect detection, high-throughput agricultural quality control and traffic vision applications such as license plate recognition. As all the applications were based on imaging, we put more attention to extraction of image features (both at the local level of image neighborhoods and at the level of segmented-out objects). As usual in perClass courses, the participants took first steps on their own problems. We also discussed Deep Learning approach and delved into the basic building blocks of convolutional neural networks.