Semantic segmentation of aerial imagery

### Context

Humans in the Loop is publishing an open access dataset annotated for a joint project with the Mohammed Bin Rashid Space Center in Dubai, the UAE.

### Content

The dataset consists of aerial imagery of Dubai obtained by MBRSC satellites and annotated with pixel-wise semantic segmentation in 6 classes. The total volume of the dataset is 72 images grouped into 6 larger tiles. The classes are:

1. Building: #3C1098
2. Land (unpaved area): #8429F6
3. Road: #6EC1E4
4. Vegetation: #FEDD3A
5. Water: #E2A929
6. Unlabeled: #9B9B9B

### Acknowledgements

The images were segmented by the trainees of the Roia Foundation in Syria.

循环人类（Humans in the Loop）发布了一个开放获取的数据集，该数据集针对与阿联酋迪拜的穆罕默德·本·拉希德太空中心（Mohammed Bin Rashid Space Center）联合开展的项目进行了标注。
### 数据内容
该数据集包含由穆罕默德·本·拉希德太空中心卫星采集的迪拜地区航空影像，并进行了像素级语义分割，分为6个类别。数据集总量为72幅图像，分为6个大块。类别包括：
1. 建筑物：#3C1098
2. 土地（未铺设区域）：#8429F6
3. 道路：#6EC1E4
4. 植被：#FEDD3A
5. 水域：#E2A929
6. 未标注：#9B9B9B
### 致谢
影像分割工作由叙利亚的Roia基金会实习生完成。