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FlatFeet classification

FlatFeet x-ray image classification project

1. Input Image Preprocessing

2. Train

  • train image : 560
  • valid image : 80
  • class : 2 (normal / flatfeet)
  • optimizer : Adam
  • epoch : 300 (Early stopping)
  • learning rate : 0.001
  • batch size : 8
  • model : M5(custom dual input model) image

3. Test Acc & Confusion Matrix

Test Image : 80 (normal 40 + flatfeet 40)

  • test accuracy : 71.25%
  • confusion matrix