The Visual Magic Behind Your Favorite Apps: How AI Image Recognition Models Power Real-World Computer Vision
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A computer vision model allows AI applications to interpret and identify images and visuals from the real world when trained properly.
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There are 3 main types of vision models convolutional neural networks (CNNs), machine learning models, and feature-based models.
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CNNs are best for complex image tasks, machine learning is more generalizable, and feature-based models are faster but less accurate.
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Vision models power many real-world apps like Google Photos, Google Lens, Google Earth, self-driving cars, and Apple's Face ID.
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Vision models, especially CNNs using deep learning, are behind much of the image magic in our favorite apps and services.