HuiZhang0812/LayoutSAM

LayoutSAM数据集是一个大规模的布局数据集，从SAM数据集派生而来，包含270万张图像-文本对和1070万个实体。每个实体都标注有空间位置（即边界框）和文本描述。传统布局数据集通常具有闭集和粗粒度的特性，这可能会限制模型生成颜色、形状和纹理等复杂属性的能力。The LayoutSAM dataset is a large-scale layout dataset derived from the SAM dataset, containing 2.7 million image-text pairs and 10.7 million entities. Each entity is annotated with a spatial position (i.e., bounding box) and a textual description. Traditional layout datasets tend to be closed-set and coarse-grained, which may limit the models ability to generate complex attributes such as color, shape, and texture.