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Kaggle IDR&D Antispoofing Challenge

The competition organized on the platform DataSouls has the objective to develop the algorithm detection of spoofing attacks in face recognition.

Hardware

  • GPU: 1xTesla K80

Data format

The images are represented in the form of frames in video sequence having the following attributes: label, path, video.

Solution

The solution represents:

  • model: ResNet50
  • validation metrics: minC = FP / (FP + TN) + 19*FN / (FN + TP)
  • augmentations: RandomHorizontalFlip, RandomResizedCrop, ColorJitter
  • optimizer: Adam
  • loss: BCELoss
  • batch size: 64