GeoImageNet will allow researchers to develop innovative deep learning algorithms for the exploitation of very high resolution (VHR) satellite images for various applications. The platform adds taxonomy management, annotation of VHR images, and model application and evaluation to the base PAVICS platform.

Contributor:

Université de Sherbrooke

Research Subject:

GEOGRAPHICAL INFORMATION

Support Email:

Claude.Chapdelaine@crim.ca

Type:

Managed

Version:

Release Date (UTC):

CANARIE Project ID:

RS-309

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