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Car plates OCR Competition Solution within MADE Computer Vision Course

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Car plates OCR Competition Solution within MADE Computer Vision Course

Predict car plate numbers from the pictures.

https://www.kaggle.com/c/car-plates-ocr-made

car-plates

General Approach

  1. Detect the car plates
  • MASKRCNN model with ResNet50 backbone for bounding box detection and mask segmentation predictions
  • Adam Optimizer with Reduce On Plateau scheduler
  1. Car plates OCR
  • Generate a bounding box for each car plate and cut to form a rectangle
  • CRNN model with ResNet18 backbone
  • AdamW optimizer with Reduce On Plateau scheduler

Config

  • TRAIN_SIZE = 0.9
  • BATCH_SIZE = 4
  • BATCH_SIZE_OCR = 128
  • LR = 1e-3
  • PATIENCE = 3
  • FACTOR = 0.9
  • THRESHOLD_SCORE = 0.93
  • TRESHOLD_MASK = 0.05
  • 1 epoch for detection and 3 epochs for OCR

Results

72nd Public and 67th Private place at the leaderboard! leaderboard

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Car plates OCR Competition Solution within MADE Computer Vision Course

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