What is a rotational invariance?
In an image classification problem, an algorithm's ability to successfully classify images even when the orientation of the image changes.
rotational invariance explained in plain English
In an image classification problem, an algorithm's ability to successfully classify images even when the orientation of the image changes. For example, the algorithm can still identify a tennis racket whether it is pointing up, sideways, or down. Note that rotational invariance is not always desirable; for example, an upside-down 9 shouldn't be classified as a 9. See also translational invariance and size invariance.
Example
Practitioners refer to rotational invariance when building, training, or evaluating machine learning systems. It appears in research papers, product documentation, and technical discussions about AI capabilities and limitations.
People also read
- 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.
- BERT
A model architecture for text representation.
- Character N-gram F-score
A metric to evaluate machine translation models.
- Embedding
A numerical representation of text, images, or other data that captures semantic meaning.
- encoder
In general, any ML system that converts from a raw, sparse, or external representation into a more processed, denser, or more internal representation.
- language model
A model that estimates the probability of a token or sequence of tokens occurring in a longer sequence of tokens.
- pooling
Reducing a matrix (or matrixes) created by an earlier convolutional layer to a smaller matrix.
- ROUGE
A family of metrics that evaluate automatic summarization and machine translation models.
- ROUGE-L
A member of the ROUGE family focused on the length of the longest common subsequence in the reference text and generated text.