Using Convolutional Neural Networks (CNN, ConvNet) for Image Classification.

Pre-trained Models

• Keras models for image classification with weights trained on ImageNet
• Matlab: Pretrained Convolutional Neural Networks

Useful References

• Francois Chollet: Building powerful image classification models using very little data (2016-06-05)
• Adrian Rosebrock: ImageNet: VGGNet, ResNet, Inception, and Xception with Keras (2017-03-20)
• CNN Architectures : VGG, Resnet, InceptionNet, XceptionNet @Kaggle (2018-Sep)

Datasets

• ImageNet/LSVRC 2012: 1.2 million images in 1,000 classes. Additional 150,000 validation and test images. Dataset @Kaggle
• COCO - Common Objects in Context
• CIFAR
  • CIFAR-10: 60,000 32x32 colour images in 10 classes. 6,000 images per class, 5,0000 training, 10,000 test images. CIFAR-10@Kaggle
  • CIFAR-100: 60,000 32x32 colour images in 100 classes. 600 images each. There are 500 training images and 100 testing images per class. 20 superclasses.
• PASCAL VOC: 11,530 images in 20 classes.
• MNIST - handwritten digits, 70,000 28x28 greyscale images in 10 classes. 60,000 training and 10,000 test examples. (1998)
• @Kaggle Cats & Dogs 25,000 images
• @Kaggle Fashion MNIST Zalando: 70,000 greyscale images in 10 classes. 60,000 training and 10,000 test images
• @Kaggle Fruits-360: 62,037 100x100 images in 90 classes (one fruit per image). 46,371 training and 15,563 test images.
• VGG datasets

Publications

• ResNet - Deep Residual Learning for Image Recognition. Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun. Dec 2015.
• MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications. Andrew G. Howard, Menglong Zhu, Bo Chen, Dmitry Kalenichenko, Weijun Wang, Tobias Weyand, Marco Andreetto, Hartwig Adam. April 2017.
• MobileNetV2: Inverted Residuals and Linear Bottlenecks. Mark Sandler, Andrew Howard, Menglong Zhu, Andrey Zhmoginov, Liang-Chieh Chen. Apr 2018.
• MnasNet: Platform-Aware Neural Architecture Search for Mobile. Mingxing Tan, Bo Chen, Ruoming Pang, Vijay Vasudevan, Mark Sandler, Andrew Howard, Quoc V. Le. Jul. 2018.
• EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks. Mingxing Tan, Quoc Le. May 2019.