82,2
W drugim kwartale 2026 roku sprzedaż słuchawek typu ear-clip wzrosła o 82,2% rdr, najszybciej w całym segmencie otwartym
IDC09/2026global
A model trained on hundreds of millions of image-caption pairs. It places images and text in a shared numerical space, enabling it to assess how well a given description matches a given image.
Why it matters
Thanks to CLIP, image generators understand visual descriptions — such as 'warm lighting', 'shallow depth of field', or 'overhead shot'. The same mechanism powers image search using natural language instead of keywords.
What's missing without it
Without models like this, scene descriptions would have to be reduced to rigid labels from a fixed list, and generators would respond only to simple nouns.
When it is used
In every image generator, visual search engines, and automatic image captioning in media libraries.
How we use it
CLIP understands appearance well but grammar poorly. It treats the sentences 'woman holding a report' and 'report holding a woman' almost identically — for capturing relationships between objects, language encoders are needed.
Numbers worth knowing