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Car recognition and license plate reading, along with recognition of the place where the license plate was issued, car color recognition and Iranian car names, accident detection and warning notification.
A project for classifying car images by body type, including image cleaning, cropping, and dataset preparation scripts for training classification models.
This project demonstrates image data augmentation techniques using TensorFlow/Keras to enhance CNN training on a car classification dataset. It applies random flips, contrast adjustments, and explores pipeline optimizations to reduce overfitting and improve model generalization.
Convolutional Neural Network with a custom architecture used for binary classification of images. The model predicts whether the car is a whole or a damaged.