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pre-trained-models

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Compare image similarity using features extracted from the pre-trained VGG16 model. This project leverages cosine similarity for accurate visual similarity assessment, making it ideal for image retrieval and duplicate detection.

  • Updated Aug 1, 2024
  • Jupyter Notebook

A semester project using ShuffleNet, MobileNetV3 Small & ResNet50 to classify real and fake faces with the specified dataset that taken from Kaggle.

  • Updated Jun 13, 2024
  • Jupyter Notebook

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