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CNN-Car-Detection

A Convolutional Neural Network for categorizing cars

picture-size für das netzwerk: 224x168

Data

Source --> https://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&uact=8&ved=0ahUKEwiwy5-X197YAhVCKFAKHXWGDcwQFggtMAA&url=http%3A%2F%2Fai.stanford.edu%2F~jkrause%2Fcars%2Fcar_dataset.html&usg=AOvVaw2qWV70n1td3vyAGhGCK0JS about 16.0000 car images. Each labeled with a car model. 196 different car model labels at all.

Transfer Learning approach

Inception V3 base model was used to categorize the images. Dataset was divided into 80 per train and 20 per val data. Used Xavier initializer for weight initialization.

Own model approach

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A Convolutional Neural Network for categorizing cars http://ai.stanford.edu/~jkrause/cars/car_dataset.html

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