lixiao20/PartImageNetPP

PartImageNet++是一个广泛的数据集，旨在增强对象识别和分割任务。该数据集在原始ImageNet数据集的基础上扩展，为每个对象类别提供了详细的部分注释。数据集包括1000个对象类别、3308个部分类别、100,000张注释图像和406,364个部分掩码注释。数据集结构包括JSON文件、包含部分关系的文件夹、被排除的低质量图像列表以及类别名称文件。此外，还提供了可视化演示工具以探索和检查注释。

PartImageNet++ is an extensive dataset designed for robust object recognition and segmentation tasks. This dataset expands upon the original ImageNet dataset by providing detailed part annotations for each object category. The dataset includes 1000 object categories derived from the original ImageNet-1K, 3308 part categories representing different parts of objects, and 100,000 annotated images, with each object category containing 100 images. Additionally, there are 406,364 part mask annotations to ensure comprehensive coverage and detailed segmentation. The dataset structure includes JSON files for each object category and its corresponding part annotations, inclusion relations of parts, and a list of excluded low-quality images. A visualization demo tool is also provided to help users better understand the datasets structure and details.