Microsoft Vision Model ResNet-50 combines web-scale data and multi-task learning to achieve state of the art

Two part animation: 

In part one, an animation graphs shows Microsoft Vision Model ResNet-50 is a state-of-the-art pretrained ResNet-50 model,   
measured above by the mean average score across seven popular computer vision benchmarks. 

In part two, three models are represented through visuals and text.
Microsoft Vision Model ResNet-50 is a state-of-the-art pretrained ResNet-50 model, measured above by the mean average score across seven popular computer vision benchmarks.

Pretrained vision models accelerate deep learning research and bring down the cost of performing computer vision tasks in production. By pretraining one large vision model to learn general visual representation of images, then transferring the learning across multiple downstream tasks, a team achieves competitive performance at a fraction of the cost when compared to collecting new

 

 

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