Facial Emotion Detection

[ananyag309]

Problem Description:

Multiclass classification of facial emotions from grayscale images.

MODELS IMPLEMENTED
Convolutional Neural Network (for baseline model)
MobileNetV2 (for transfer-learning backbone)
EfficientNetV2S (for transfer-learning backbone)

LIBRARIES NEEDED
Tensorflow
Keras
Keras_CV
Numpy
Matplotlib
Scikit-learn

Starting with a solid baseline using a CNN, we setup a framework for comparison of different model configurations.
Combining data-augmentation with transfer-learning techniques improved performance significantly.
Our final model consists of:
Preprocessing - Lanczos5 interpolation for resizing and upscaling
Data augmentation - Rotation + Horizontal flipping
Model (transfer-learning) - EfficientNetV2S backbone for feature-extraction and fine-tuning.

[yashasvini121]

Sure, @ananyag309, please proceed!

I assume the final output will be a form where users can upload an image, and the system will return the detected emotion.