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This model is capable of identifying faces with high accuracy by leveraging the power of computer vision and deep learning techniques. It utilizes cv2 for efficient image processing and face detection tasks, ensuring robust performance in various lighting conditions and environments. The underlying architecture is based on the ResNet.
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