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This repository is home to an exploration in the field of Facial Recognition using Convolutional Neural Networks. It is based on the performance comparison between different models such as ResNet50, MobileNetV3, InceptionV3, EfficientNet, and VGG16. The models were trained using two types of losses - Triplet Loss and Categorical Cross Entropy.

Python 0.06% Jupyter Notebook 91.22% PureBasic 8.72%
convolutional-neural-networks facenet machine-learning real-time keras media-pipe mtcnn-face-detection tensorflow

tfg-real_time_facial_recognition's Introduction

Hi there 👋! I'm Sergi Solís 👾

Computer Engineering Student 👨🏻‍💻 at Universitat Pompeu Fabra.

const aboutMe = {
   code: [Javascript, HTML, CSS, Python, C, C++, Java],
   technologies: {
      frontEnd: {
         js: ["VanillaJS", "JavaServer Pages"],
         css: ["Bootstrap", "Material Design"]
      },
      backEnd: {
         js: ["Node", "Express"],
         java: ["Servlet"]
      },
      databases: ["mySQL"]
   },
};

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