Image-Classification

Image Classification Pre-trained VGG-Net Model for image classification using tensorflow DataSets : we used each of this DataSets for Image Classification training UC Merced Land Dataset SIRI-WHU RSSCN7 After Training : Resultat of UC Merced Land DataSet After Image Classification Training Testing the classification of one batch of Pictures from UC Merced Land Use Dataset Cost and Accuracy : graph represent the values of both of cost and accuracy each epoch How To use : you can use this model to classify any DataSet just follow the 4 next instruction Instalation : install tensorflow 1.6 matplotlib opencv imutils to install tensorflow gpu matplotlib opencv Train the Model: To Train Model for different DataSets or Different Classification follow the steps : Exploit your DataSet Example Help Train your DataSet Example Help Test your Model : to test your model Example Help Confusion Matrix : to Draw Confusion matrix (the output in images) Help For Distributed Tensorflow [optional] : Download and install nmap install nmap python module Set Workers and pss (parameter servers) devices name in trainvgg19distibuted