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Implementation of CNN Architecture for Multi Label Image Classification using Keras for BITS F312

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Objective

Image classification of subclasses of Food, Flowers and Animals

Classes : ​['donuts', 'salad', 'lasagna', 'pancakes', 'pizza', 'risotto', 'cat', 'dog', 'monkey', 'squirrel', 'daisy', 'dandelion', 'sunflower', 'rose', 'tulip']

Training Dataset

LINK

CNN Architecture Used

Libraries Used

  • numpy
  • scipy
  • pandas
  • scikit-learn
  • opencv-contrib-python
  • tensorflow
  • keras

For Implementation refer notebook

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Implementation of CNN Architecture for Multi Label Image Classification using Keras for BITS F312

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