OpenAI CLIP (Contrastive Language–Image Pre-training) is an open-source multimodal AI model developed by OpenAI. It enables models to understand the relationship between images and natural language, allowing developers to perform tasks like zero-shot image classification, image search, and text-to-image retrieval. CLIP provides tools for embedding, searching, and comparing visual and textual data efficiently, with a focus on flexibility, performance, and integration with PyTorch.

Features of OpenAI CLIP:

• Supports zero-shot image classification using natural language prompts.
• Enables image-to-text and text-to-image retrieval for multimodal applications.
• Optimized for integration with PyTorch and other Python-based ML workflows.
• Provides pre-trained models and easy-to-use APIs for embeddings and similarity search.
• Can be used in research, generative AI pipelines, and production applications.
• Open-source and actively maintained by the community on GitHub.

To check the Version of Open AI CLIP

pip show clip

Disclaimer: OpenAI CLIP is released under the MIT License and maintained by the open-source community. Users are responsible for correct usage in their specific applications. Developers are not responsible for any consequences arising from its use. Always refer to the official CLIP GitHub repository for the most accurate and up-to-date information.