What is an image recognition?
A process that classifies object(s), pattern(s), or concept(s) in an image.
image recognition explained in plain English
A process that classifies object(s), pattern(s), or concept(s) in an image. Image recognition is also known as image classification.
Example
Practitioners refer to image recognition when building, training, or evaluating machine learning systems. It appears in research papers, product documentation, and technical discussions about AI capabilities and limitations.
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A layered system that processes information in stages, with each layer detecting slightly more complex patterns than the last.
- rotational invariance
In an image classification problem, an algorithm's ability to successfully classify images even when the orientation of the image changes.
- size invariance
In an image classification problem, an algorithm's ability to successfully classify images even when the size of the image changes.
- translational invariance
In an image classification problem, an algorithm's ability to successfully classify images even when the position of objects within the image changes.
- A/B testing
A statistical way of comparing two (or more) techniques—the A and the B.
- ablation
A technique for evaluating the importance of a feature or component by temporarily removing it from a model.
- accuracy
The number of correct classification predictions divided by the total number of predictions.
- activation function
A function that enables neural networks to learn nonlinear (complex) relationships between features and the label.
- active learning
A training approach in which the algorithm chooses some of the data it learns from.