Example configuration for image classification.
Created by: qingqing01
In this example, we would like to show how to do image classification task in PaddlePaddle. We need to provide several classic configuration, AlexNet, VGG, GoogleNet, ResNet. It's betther to provide GoogleNet-v3/v4, identity-mapping-ResNet, but it doesn't matter if they are not provided in the first version.
Reference configuration:
- v1 of AlexNet: https://github.com/PaddlePaddle/Paddle/blob/develop/benchmark/paddle/image/alexnet.py
- VGG: https://github.com/PaddlePaddle/book/blob/develop/03.image_classification/vgg.py
- v1 of GoogleNet: https://github.com/PaddlePaddle/Paddle/blob/develop/benchmark/paddle/image/googlenet.py
- ResNet: https://github.com/PaddlePaddle/book/blob/develop/03.image_classification/resnet.py
DataSet:
- ImageNet
- Oxford-flowers: http://www.robots.ox.ac.uk/~vgg/data/flowers/102/index.html