This is a car year classificator model using pretrained VGG16, VGG19 and InceptionV3 on ImageNet data set.
The model has been trained on Cars Dataset from Stanford
Repo was forked from michaelgdak's car recognition repo https://github.com/michalgdak/car-recognition/blob/master/car-recognition-aws/predict.py
3D Object Representations for Fine-Grained Categorization Jonathan Krause, Michael Stark, Jia Deng, Li Fei-Fei 4th IEEE Workshop on 3D Representation and Recognition, at ICCV 2013 (3dRR-13). Sydney, Australia. Dec. 8, 2013.
The Keras Blog, Building powerful image classification models using very little data