Researchers have made a breakthrough in helping artificial intelligence models better understand images, particularly when it comes to spotting small details. They found that these models often struggle to focus on the most relevant parts of an image, leading to mistakes. To address this, the team developed a new method called Vision-OPD, which teaches the model to selectively focus on specific areas of an image. This allows the model to improve its performance on tasks that require spotting small details, and even outperforms other models that use external tools or labels. The results show promise for improving the accuracy of AI models in image recognition and analysis.