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This project classifies a valid image into two categories

  1. Cricket
  2. Football

"In this project, I have taken the data(i.e. images) from web so the dataset is small, as a result it has 100 % accuracy on test dataset." "The dataset is created with the help of dataset pipelining from tensorflow library." "The model used to classify photos is convolution neural network" "Future suggestion- instead of small dataset a large no of data can be used to train the model so that it provides better accuracy on unknown data"

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