Facial Emotion Recognition
Jan 2024A state-of-the-art computer vision system capable of accurately detecting and classifying human facial emotions.
Key Features
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Vision Transformers (ViT)
Built a high-performance model using Vision Transformers (ViT), fine-tuned on a custom dataset to achieve superior accuracy compared to traditional CNNs.
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Advanced Optimization
Implemented advanced optimization techniques including Mixup, Label Smoothing, and Test Time Augmentation (TTA) to improve model generalization and robustness.
Technologies
PythonPyTorchVision TransformersStreamlitDocker