Hugging Face has released a blog post on image similarity using their datasets and transformers. The post explains how to use pre-trained models from the Hugging Face Model Hub to compare images based on their visual content. This is achieved by fine-tuning the model on a dataset of image pairs with corresponding similarity labels. The resulting model can then be used for tasks such as image retrieval, clustering, or anomaly detection. --- Why it matters: This matters because it provides a practical example of how to apply transformer-based models to image similarity tasks, which is relevant to researchers and engineers working in computer vision and AI. Source: https://huggingface.co/blog/image-similarity