InnerView is a real-time facial emotion recognition project developed using TensorFlow, Keras, OpenCV, MobileNetV2, and transfer learning. It allows for efficient recognition of facial emotions in real-time applications.
- Real-time Emotion Recognition using MobileNetV2
- Transfer learning on the FER2013 dataset
- Lightweight architecture for optimal real-time performance
- InnerView_model.h5: Trained model for facial emotion recognition.
- FER2013 Dataset: The FER2013 dataset used for training.
- InnerView.ipynb: Jupyter notebook providing insights into the model training process.
- FER-2013: Facial Expression Recognition Dataset
- MobileNetV2: The Next Generation of On-Device Computer Vision Networks
- MobileNetV2: Inverted Residuals and Linear Bottlenecks
- MobileNetV2 Model for Image Classification
This project is licensed under the GNU Affero General Public License v3.0. See the LICENSE file for details.