Skip to content
This program could identify face in picture or video and detect if the person is happy, sad or miscellaneuous.
Branch: master
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
COGS_118B_final_project.ipynb
README.md
ResNet50 for facial exp classification.ipynb

README.md

Facial-Expression-Recognizer

This program could identify face in picture or video and detect if the person is happy, sad or miscellaneuous. We used HOG(Histogram of Oriented Gradients) to detect facial features. We can use it to circle out the facial part and even put landmarks on it. For classification, we trained convolutional neural networks on the facial part of the picture/video and make a judgement of what expression the selected person is presenting. We only have three expressions right now, but it is very optimistic to have more expressions to classify. We have an accuracy around 65% right now, and we are still trying new algorithms to improve the performance.

UPDATE: Using the ResNet50 architecture we were able to improve accuracy upto 80%

You can’t perform that action at this time.
You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session.