CLIP (Contrastive Language-Image Pre-training)

CLIP (Contrastive Language-Image Pre-training) is a neural network developed by OpenAI that efficiently learns visual concepts from natural language supervision. It connects computer vision and natural language understanding by training on a vast dataset of image-text pairs, enabling zero-shot classification and text-image retrieval. The PyPI package `openai-clip` (version 1.0.1) is an unofficial distribution of the original OpenAI CLIP library, which is primarily maintained and distributed via its official GitHub repository. The library does not have a formal release cadence.