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X-ray-image-recognition

Self-project

The project to give a True False tag given the product X-ray image and title text. The model architecture is as follows:

  1. Image engine: converts the given image to a vetor after fine-tuning pretrained weights.
  2. Text engine: converts the title into a vector of fixed length.
  3. Classifier: Combines the output of above two engines to get a concatenated vector of fix length and feeds it to a fully connected artificial neural network.

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