The recent advancements in deep learning have led to the development of several state-of-the-art models that have revolutionized the field of computer vision. One such model is the Contrastive Language-Image Pretraining (CLIP) model, developed by OpenAI in 2021. CLIP is a zero-shot image classifier that can classify images into a wide range of categories without any training on the specific dataset. In this blog post, we will discuss what CLIP is, its architecture, how it works, its applications, and how we can fine-tune it on custom datasets. source What is CLIP? CLIP is a transformer-based model that can understand the relationship between images and text. It is a zero-shot image classifier, which means that it can classify images into a wide range of categories without any training on the specific dataset. CLIP is pre-trained on a massive dataset of over 400 million text-image pairs, which allows it to understand the relationship between images and text. CLIP can be used for a wide