Catalog of pre-trained models for images

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• Google Inception: https://github.com/tensorflow/models/tree/master/research/inception (license? The Tensoreflow one? ASF 2.0)
• Tensorflow models: https://github.com/tensorflow/models
• Microsoft ResNet: https://github.com/KaimingHe/deep-residual-networks (MIT)
• Oxford VGG: http://www.robots.ox.ac.uk/~vgg/research/very_deep/ (CC attribution)

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https://github.com/BVLC/caffe/wiki/Model-Zoo

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Models used to compare AI hardware performance:

ResNet-18, ResNet-50, Inception V4, Tiny YOLO V3, OpenPose, VGG-19, Super Resolution, and Unet models

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Winners models in the ImageNet competition:

http://image-net.org/challenges/LSVRC/ https://medium.com/zylapp/review-of-deep-learning-algorithms-for-image-classification-5fdbca4a05e2

[acs]

https://onnx.ai/ A common format for describing machine learning models