GeoImageNet allows 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, download of dataset/taxonomy and model evaluation to the base PAVICS platform.

Contributor:

CRIM

Research Subject:

GEOGRAPHICAL INFORMATION

Support Email:

geoimagenet-dev@crim.ca

Type:

Managed

Version:

0.4.4

Release Date (UTC):

2019-06-30 00:00:00

CANARIE Project ID:

RS-309

Tags:

Annotation Cloud Deep learning Geographical taxonomy High Resolution Satellite imagery

How to Cite:

GeoImageNet RS-309