ReFocus/ReFocus_Data

ReFocus数据集是用于结构化图像理解的一种视觉编辑链式思维模型。数据集包含了问题、答案、图像、编辑后的图像、图像中的关注区域边界框、坐标值以及对应的边界框等信息。数据集分为训练集、验证集和测试集，适用于机器学习和深度学习模型训练。

The ReFocus dataset is designed for structured image understanding using a chain of thought of visual editing. It includes questions, answers, images, edited images, bounding boxes for focus areas, coordinate values, and corresponding bounding boxes. The dataset is split into training, validation, and test sets, suitable for machine learning and deep learning model training.