Face classification and detection from the B-IT-BOTS robotics team.

Real-time face detection and emotion/gender classification using fer2013/IMDB datasets with a keras CNN model and openCV.

• IMDB gender classification test accuracy: 96%.
• fer2013 emotion classification test accuracy: 66%.

Emotion/gender examples

Live demo

Guided back-prop

Emotion/gender classification of the B-IT-BOTS robotics team :)

Instructions

To train previous/new models for emotion classification:

• Download the fer2013.tar.gz file from here

• Move the downloaded file to the datasets directory inside this repository.

• Untar the file:

tar -xzf fer2013.tar

• Run the train_emotion_classification.py file

python3 train_emotion_classifier.py

To train previous/new models for gender classification:

• Download the imdb_crop.tar file from here (It's the 7GB button with the tittle Download faces only).

• Move the downloaded file to the datasets directory inside this repository.

• Untar the file:

tar -xfv imdb_crop.tar

• Run the train_emotion_classification.py file

python3 train_emotion_classifier.py