# Few-Shot Image Classification

> Source: https://sukruyusufkaya.com/en/glossary/few-shot-image-classification
> Updated: 2026-05-13T20:58:50.418Z
> Type: glossary
> Category: bilgisayarli-goru
**TLDR:** A learning approach that aims to distinguish new visual categories when only a few examples per class are available.

<p>Few-shot classification is highly valuable in domains where annotation is expensive or difficult. In tasks such as medical imaging, industrial defect types, and rare-species recognition, collecting many examples per class may be impossible. This approach aims to learn general representations first and then adapt rapidly to new classes from only a handful of examples.</p>