Datasets:
Tasks:
Feature Extraction
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
< 1K
Tags:
climate
License:
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license: cc-by-4.0
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---
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license: cc-by-4.0
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task_categories:
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- feature-extraction
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language:
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- en
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tags:
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- climate
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pretty_name: Semantic segmentation of aerial imagery
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size_categories:
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- n<1K
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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:
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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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<a href="http://projectcentersinchennai.co.in/Final-Year-Projects-for-CSE/Final-Year-Projects-for-CSE-Deep-learning-Domain" title="Deep Learning Projects for Final Year">Deep Learning Projects for Final Year</a>
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