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face-recognition's Introduction

Распознавание лиц различных по освещению и положению

В данном проекте реализована нейросетевая система, состоящая из двух частей: YOLOv3 и Facenet.

Ссылка на обучающий dataset: https://mmlab.ie.cuhk.edu.hk/projects/CelebA.html

Рассматриваемые архитектуры:

  • YOLOv3 (обучалась в проекте для детекции лиц)

  • Facenet (использовалась в виде рапознающей сети)

Технологический стек:

  • PyTorch
  • TensorFlow
  • Matplotlib
  • Keras
  • Pandas

Пример детектированного изображения

Точность детекции 72,96%

Пример распознавания

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