Image Processing: Algorithm Improvement for 'Coca-Cola Can' Recognition

Question

One of the most interesting projects I\'ve worked on in the past couple of years was a project about image processing. The goal was to develop a system to be able to recogni

Answer 1

Deep Learning

Gather at least a few hundred images containing cola cans, annotate the bounding box around them as positive classes, include cola bottles and other cola products label them negative classes as well as random objects.

Unless you collect a very large dataset, perform the trick of using deep learning features for small dataset. Ideally using a combination of Support Vector Machines(SVM) with deep neural nets.

Once you feed the images to a previously trained deep learning model(e.g. GoogleNet), instead of using neural network's decision (final) layer to do classifications, use previous layer(s)' data as features to train your classifier.

OpenCV and Google Net: http://docs.opencv.org/trunk/d5/de7/tutorial_dnn_googlenet.html

OpenCV and SVM: http://docs.opencv.org/2.4/doc/tutorials/ml/introduction_to_svm/introduction_to_svm.html