Enhanced Facial Expression Recognition: A Convolutional Neural Network Approach
WThe model presented in this study harnesses various libraries, including OpenCV, Keras, and TensorFlow. Through the utilization of grayscale images from the Face Expression Recognition dataset on Kaggle, the model undergoes training with CNN architectures of varying depths.
Authors
- Sumit Maske
Institutions
- Indiana University Bloomington (US)
Publication Details
- Journal
- Avalokiteshvara Journal of Artificial Intelligence (AJAI)
- Published
- 2025-03-25
- DOI
- https://doi.org/10.63820/3049-3889.vol.1.issue.01.003
- Primary Topic
- Face and Expression Recognition
- Type
- article
- Field-Weighted Citation Impact
- 0.00