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Plate Detection

This project aims to detect the vehicle’s license plates using a combination of a pretrained model (VGG16) and a deep neural network (DNN). The pretrained model is used to extract features from the input images, and the DNN is used to classify the images into license plate or non-license plate regions.

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The objective of this project is to detect the vehicle’s license plates using transfer learning : a pretrained model (VGG16) followed by a DNN architecture.

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