Satellite Imagery

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.

This semantic segmentation dataset is dedicated to the public domain by Humans in the Loop under CC0 1.0 license

UAE semantic segmentation aerial imagery

Dataset size

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

Access the dataset by filling in the form below