A simpler path to better computer vision


A machine-learning model needs to be taught before it can finish a task, like recognising cancer in medical photos. In order to train an image classification model, a large dataset comprising millions of example photos must be presented to the model.

Using genuine image data, however, can bring up both practical and moral issues: the photographs might infringe copyright rules, invade people’s privacy, or be prejudiced against a particular racial or ethnic group. Researchers can generate synthetic data for model training using picture generating technologies to avoid these issues.

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