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About | ||
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The **iquaflow** software allows to measure quality of images according to the prediction accuracy of different deep learning algorithms trained on them. | ||
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A core use cas has been the evaluation of the image quality from satellite sensors after being compressed and restored. This includes analyzing to what extent the images can be modified so that they do not suffer a significant deterioration. | ||
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Sponsor | ||
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.. image:: logo_feder.png | ||
:width: 250 | ||
:alt: Alternative text | ||
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.. image:: logo_micinnu_aei.png | ||
:width: 250 | ||
:alt: Alternative text | ||
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The project was financed by the Ministry of Science and Innovation and by the European Union within the framework of Retos-Collaboration of the State Program of Research, Development and Innovation Oriented to the Challenges of Society, within the State Research Plan Scientific and Technical and Innovation 2017-2020, with the main objective of promoting technological development, innovation and quality research. Project reference >> *RTC2019-007434-7* | ||
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Development | ||
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The project has been coordinated by Satellogic and with the participation of the Multimedia Technologies Unit of Eurecat along with the Group on Interactive Coding of Images (GICI) of the Autonomous University of Barcelona (UAB). | ||
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.. image:: Satellogic_Logo_PNG_Horizontal_1_Positivo-THUMBNAIL.png | ||
:width: 150 | ||
:alt: Alternative text | ||
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.. image:: Eurecat.jpg | ||
:width: 150 | ||
:alt: Alternative text | ||
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.. image:: UAB.png | ||
:width: 150 | ||
:alt: Alternative text |