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Kaggle competition: Global Wheat Detection - identification of wheat heads from images

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kaggle_global_wheat_detection

Kaggle competition: Global Wheat Detection - identification of wheat heads from images

  • Encoder-Decoder model implemented in tensorflow keras (2.2.0)
  • Adam Optimizer: starting dynamic learning rate (ReduceLRonPlateau, starting rate = 0.01) and Early Stopping
  • Test accuracy = 84%

Test images (10 images from test directory)

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Kaggle competition: Global Wheat Detection - identification of wheat heads from images

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