📚 node [[translational_invariance|translational invariance]]
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⥅ related node [[translational_invariance]]
⥅ node [[translational_invariance]] pulled by Agora

translational invariance

Go back to the [[AI Glossary]]

#image

In an image classification problem, an algorithm's ability to successfully classify images even when the position of objects within the image changes. For example, the algorithm can still identify a dog, whether it is in the center of the frame or at the left end of the frame.

See also size invariance and rotational invariance.

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