Upload Semantic-Segmentation-Aerial-Imagery-Dataset.zip

The dataset comprises aerial imagery of Dubai acquired by MBRSC satellites and annotated with pixel-level semantic segmentation across 6 distinct classes. The dataset comprises a total of 72 images, which are organised into 6 larger tiles. The categories are as follows:
<ul>
<li>Building: #3C1098</li>
<li>Land (unpaved area): #8429F6</li>
<li>Road: #6EC1E4</li>
<li>Vegetation: #FEDD3A</li>
<li>Water: #E2A929</li>
<li>Unlabeled: #9B9B9B</li>
</ul>

Credit: Humans in the Loop is releasing an openly accessible dataset that has been annotated for a collaborative project with the Mohammed Bin Rashid Space Centre in Dubai, United Arab Emirates.

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Semantic-Segmentation-Aerial-Imagery-Dataset.zip

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