FlOoD: Synthetic Dataset for Semantic Segmentation of Waterbodies in Out-of-Distribution situations

The dataset is split into two directories: train, and test. The folder structure of each of the (train, test) directories is as follows: A directory corresponds to a 3D scene. For each scene, there are directories that correspond to a camera placed in the 3D scene. For each camera, there are directories that include the RGB frames (images) and corresponding directories (masks) that contain the respective binary segmentation masks. A metadata.json file contains the attribute values for each frame.

本数据集划分为训练（train）与测试（test）两个目录。两类目录的内部文件夹结构均遵循如下规则：每个目录对应一个3D场景；针对每个场景，设有若干目录，分别对应3D场景中的一台相机；针对每台相机，其目录下包含RGB帧（图像）存储目录，以及存储对应二进制分割掩码的掩码（masks）目录。另有metadata.json文件，内含各帧的属性参数。