[PDF] computer vision: models

A computer vision model is a software program that is trained to detect objects in images. A model learns to recognize a set of objects by first analyzing images of those objects through training.
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  • Which model is best for computer vision?

    Computer vision models are designed to translate visual data based on features and contextual information identified during training.
    This enables models to interpret images and video and apply those interpretations to predictive or decision making tasks.

  • What are examples of computer vision?

    A general strategy

    1Create a dataset comprised of annotated images or use an existing one. 2Extract, from each image, features pertinent to the task at hand. 3Train a deep learning model based on the features isolated. 4Evaluate the model using images that weren't used in the training phase.

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