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Image classification using CNN and transfer learning

Python 100.00%

cnn's Introduction

A CNN used to classify 7000 images into 8 classes.
Used image augmentation technique to add another 7000 images in training set.
Used vgg16 as base model, applied transfer learning to get better accuracy.
Final classification accuracy is apporximately 75%.

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