OFFSED Dataset

The authors introduce the OFFSED: Off-Road Semantic Segmentation Dataset, comprising 203 images with full-image semantic segmentation masks. These masks categorically assign one of 19 classes to each pixel. The selection of images was done in a way that captures the whole range of environments and human poses. In addition to pixel labels, a few selected countable classes also come with instance identifiers. This allows for the use of the dataset in instance and panoptic segmentation tasks.

作者们推出了OFFSED：越野语义分割数据集，该数据集包含203张图像及完整的图像语义分割掩膜。这些掩膜对每个像素进行分类，赋予其中19个类别之一。图像的选择旨在涵盖整个环境范围及人类姿态的全貌。除了像素标签之外，部分可计数的类别还附带了实例标识符。这为在实例分割和全景分割任务中使用该数据集提供了可能。