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OpenAI CLIP
OpenAI CLIP
Openai CLIP is an AI neural network model developed by the OpenAI team on January 5, 2021 that can recognize and link images and text. CLIP is based on a multi-modal model of image and text parallelism, which can achieve image retrieval, geolocation, video action recognition, etc. It can also combine English language concept knowledge with image semantic knowledge, and encode text and visual information into multiple-modality embedded in the space. At present, the actual use effect brought by CLIP is of great significance to the further advancement of computer vision technology.

What is OpenAI CLIP?

Openai CLIP is an AI neural network model developed by the OpenAI team on January 5, 2021 that can recognize and link images and text. CLIP is based on a multi-modal model of image and text parallelism, which can achieve image retrieval, geolocation, video action recognition, etc. It can also combine English language concept knowledge with image semantic knowledge, and encode text and visual information into multiple-modality embedded in the space. At present, the actual use effect brought by CLIP is of great significance to the further advancement of computer vision technology.Price: FreeTag: Neural Network ModelRelease Time: January 5, 2021Developer(s): OpenAI

OpenAI CLIP Function

It retrieves the image most relevant to the sentenceIt can concatenate text with images

Limitations of OpenAI CLIP

Although CLIP is flexible and efficient, and can recognize common objects well, it does not perform well when faced with more complex and abstract objects, especially in zero-shot mode that has not been explicitly trained.

OpenAI CLIP Download

CLIP is an open source model. For more information, you can find the CLIP model on GitHub of OpenAI. Here are the specific download steps:

Enter the official website of OpenAI CLIP

Go to the bottom of the page, find GitHub and click to enter

Click Repositories and enter CLIP in the search click Find and click to enter the CLIP file

Click Code and click Download ZIP to download the compressed package