Market by Component (Software (Facial Expression Recognition, Speech & Voice Recognition) and Services), Application Area, End User, Vertical, and Region (North America, Europe, APAC, RoW) - Global ...
This project implements a face emotions detection system using Tensorflow, Keras, Pandas, tqdm, Opencv, numpy and matplotlib. The model identifies various facial emotions such as 'angry', 'disgust', ...