图像库:
ImageNet http://www.image-net.org/
Microsoft的COCO http://mscoco.org/
CIFAR-10和CIFAR-100 https://www.cs.toronto.edu/~kriz/cifar.html
PASCAL VOC http://host.robots.ox.ac.uk/pascal/VOC/
深度学习网络模型链接
参考博文:https://blog.csdn.net/hereiskxm/article/details/61916676
常用预训练模型池:
https://github.com/BVLC/caffe/wiki/Model-Zoo
AlexNet:
AlexNet 代码及模型(Caffe) https://github.com/BVLC/caffe/tree/master/models/bvlc_alexnet
微调AlexNet以适应任意数据集(Tensorflow) https://github.com/kratzert/finetune_alexnet_with_tensorflow
VGG:
VGG-16 官方代码和ILSVRC模型(Caffe) https://gist.github.com/ksimonyan/211839e770f7b538e2d8
VGG-19 官方代码和ILSVRC模型(Caffe) https://gist.github.com/ksimonyan/3785162f95cd2d5fee77
Tensorflow版 VGG-16/VGG-19 https://github.com/machrisaa/tensorflow-vgg
VGG是最符合典型CNN的一种网络,它在AlexNet的基础上加深了网络,以达到更好的效果。
ResNet:
ResNet-50, ResNet-101, and ResNet-152 代码及ILSVRC/COCO模型(Caffe) https://github.com/KaimingHe/deep-residual-networks
以上模型的Torch版(lua),由Facebook实现 https://github.com/facebook/fb.resnet.torch
ResNet-1001代码及ILSVRC/COCO模型(Caffe-目前第一名) https://github.com/KaimingHe/resnet-1k-layers