Your comprehensive guide to the terminology of synthetic data, machine learning, and computer vision.
A field of AI that trains computers to interpret and understand visual information from the world, enabling machines to see and analyze images and videos.
A technique to artificially expand training datasets by applying transformations like rotation, flipping, scaling, and color adjustments to existing samples.
Artificially generated data that mimics the statistical properties of real-world data, used for training AI models without privacy concerns or collection costs.
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