AI engineering glossary · Computer vision
What is top-k accuracy?
Top-k accuracy: A metric that counts a prediction as correct if the true class is among the model's k highest-scoring classes. Top-5 is common on datasets with many similar classes, where the exact label can be ambiguous.
Top-k accuracy: an example
If the true label is 'Labrador' and the model ranks it second, top-1 counts it wrong while top-5 counts it correct.
Related terms
More Computer vision terms
- Translation invariance
- Transposed convolution
- Two-stage detector
- U-Net
- Upsampling
- VGG
- Vision transformer
- YOLO
Where you learn it
Top-k accuracy is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.