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README.md

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experiments

Resources:

  • The folder contains deploy.txt which defines the cnn net,consolidation.csv which is the metadata and the mean image file

Data:

  • The folder contains train.txt and test.txt file which lists the name of images(named by imagehash) used for training and testing the model

Approach1:

  • Approach 1 is the method where we extract the feature vectors from the last second layer(fc7) and use these feature vectors to train a linear classifier.
  • Each ipynb file is jupyter notebook referring to a particular experiment
  • Other file which is required is the caffemodel weights of the pretrained cnn which can be downloaded from [http://dl.caffe.berkeleyvision.org/bvlc_reference_caffenet.caffemodel]