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Building detection


Coming back soon: currently not available. Detect apartments, houses, industrial buildings, and sheds in satellite images.

Technical information

Building Detection identifies buildings in satellite images. The algorithm can detect buildings of various sizes in images with ground sampling distance (GSD) of 0.55m or less. The output is provided as JSON with details of detected bounding boxes coordinates; and the image showing bounding boxes on the buildings. The algorithm is trained on a data-set obtained from South-Eastern Asia.

Technical Description

The algorithm uses deep learning techniques and CNN-based detection architectures to achieve the computer vision objective. The solution is built in Python and uses Tensorflow at backend as deep learning framework. The algorithm processes satellite images with no restrictions on image dimensions.

The use cases are Urbanization monitoring, Infrastructure monitoring, Urban Planning & Design, Construction.

General InformationDescription
Supported input dataGeoTIFF, PNG or JPEG images. The image is expected to have Ground Sampling Distance (GSD) less than 0.55 m.
Output data formatResultant image with overlayed detection bounding boxes.
Performance0.5 IoU and has detection of 0.5 mAP on satellite images with GSD 0.55 m.

Terms & conditions

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