Semantic segmentation dataset
In collaboration with the Mohammed Bin Rashid Space Center
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.
The dataset consists of aerial imagery of Dubai obtained by MBRSC satellites and annotated with pixel-wise semantic segmentation in 6 classes. The images were segmented by the trainees of the Roia Foundation in Syria.
The dataset includes 72 images grouped into 8 larger tiles.
The images are labeled in 6 classes:
1. Building: #3C1098
2. Land (unpaved area): #8429F6
3. Road: #6EC1E4
4. Vegetation: #FEDD3A
5. Water: #E2A929
6. Unlabeled: #9B9B9B