Train the model (Scenario 1)

• batch size 8
• Val Freq: 10
• LR 1e-5
• Epoch = 1

Scenario 2: Split Noise. Below 40%(find the threshold)

• Gloria Poisson

  • 5

• Nicolo Salt and Pepper

  • 0.1 (10%) = 0.18 acc
  • 0.05 (5%) = 0.27
  • 0.02 (2%) = 0.43

  

  

  • 0.01 (1%) = 0.54
  • 0.001 (0.1%) = 0.88

  

• Daniel Gaussian

0,15

0.07 std = 0.9 acc

Scenario 3: use the same parameters but with noise in the training and hope the acc is higher (above 80%)

• Nicolò: Salt and pepper (0.02 noise = 0.95 test acc)

• Daniel: Gaussian

  

  

• Gloria: Poisson

  • lambda 5

  

  

  Histogram

  Original image

  

  Augmented image