Published On: February 22nd, 2023Categories: AI News

CLIP: Creating Image Classifiers Without Data | by Lihi Gur Arie, PhD...

A hands-on tutorial explaining how to generate a custom Zero-Shot image classifier without training, using a pre-trained CLIP model. Full code included.

Image generated by the author with Midjourney

Imagine you need to classify whether people wear glasses, but you have no data or resources to train a custom model. In this tutorial, you will learn how to use a pre-trained CLIP model to create a custom classifier without any training required. This approach is known as Zero-Shot image classification, and it enables classifying images of classes that were not explicitly seen during the training of the original CLIP model. An easy-to-use Jupyter notebook with the full code is provided below for your convenience.

The CLIP (Contrastive Language-Image Pre-training) model, developed by OpenAI, is a multi-modal vision and language model. It maps images and text descriptions to the same latent space, allowing it to determine whether an image and description match. CLIP was trained in a https://towardsdatascience.com/clip-creating-image-classifiers-without-data-b21c72b741fa?source=rss—-7f60cf5620c9—4

Lihi Gur Arie, PhD
2023-02-22 16:40:30
Towards Data Science – Medium

https://areyoupop.com/wp-content/uploads/CLIP-Creating-Image-Classifiers-Without-Data-by-Lihi-Gur.png[rule_{ruleNumber}] [rule_{ruleNumber}_plain] ,
https://towardsdatascience.com/clip-creating-image-classifiers-without-data-b21c72b741fa?source=rss—-7f60cf5620c9—4
towardsdatascience.com
https%3A%2F%2Ftowardsdatascience.com%2Fclip-creating-image-classifiers-without-data-b21c72b741fa%3Fsource%3Drss—-7f60cf5620c9—4
computer-vision,deep-learning,clip,zero-shot-learning,image-classification
hashtags : #CLIP #Creating #Image #Classifiers #Data #Lihi #Gur #Arie #PhD..

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