Omkar2118/datasets huggingface dataset:
Mila Simulated Floods

Mila Simulated Floods Dataset is a 1.5 square km virtual world using the Unity3D game engine including urban, suburban and rural areas.

The *urban* environment contains skyscrapers, large buildings, and roads, as well as objects such as traffic items and vehicles. The *rural* environment consists of a landscape of grassy hills, forests, and mountains, with sparse houses and other buildings such as a church, and no roads. The rural and urban areas make up for 1 square km of our virtual world. 
The *suburban* environment is a residential area of 0.5 square km with many individual houses with front yards.

To gather the simulated dataset, we captured *before* and *after* flood pairs from 2000 viewpoints with the following modalities:

- non-flooded RGB image, depth map, segmentation map
- flooded RGB image, binary mask of the flooded area, segmentation map

The camera was placed about 1.5 above ground, and has a field of view of *120 degree*, and the resolution of the images is *1200 x 900*. At each viewpoint, we took 10 pictures, by varying slightly the position of the camera in order to augment the dataset.

Introducing paper: ClimateGAN: Raising Climate Change Awareness by Generating Images of Floods