This repository contains the classification/validation procedure for extracting features from images using the layer outputs of a MobileNet v2 ANN architecture. Then these features are fed into an SVM classifier (libSVM – matlab implementation) for training/testing. This code was employed to infer the information abstraction level from images taken in a supermarket environment.
|Supermarket Category Analysis OCR||
Python code that identifies which shelf or trail of a supermarket is presented in an image using OCR and a majority voting protocol.
Python-based face recognition exemplar using one shot learning.