EGI-Engage:WP6 Caffe

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EGI-Engage project: Main page WP1(NA1) WP3(JRA1) WP5(SA1) PMB Deliverables and Milestones Quality Plan Risk Plan Data Plan
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WP2(NA2) WP4(JRA2) WP6(SA2) AMB Software and services Metrics Project Office Procedures


Contents



Tool name Assisted pattern recognition tools integrated with EGI for citizen science
Tool description A demonstrator service built on the Caffe deep learning framework to classify flowers based on uploaded images.
Tool url Demonstrator instance: http://lxbifi21.bifi.unizar.es:5000/ (Final instance will be deployed for production under a different URL.)
Email (support) Fernando Aguilar - aguilarf@ifca.unican.es; Eduardo Lostal - eduardol@bifi.es
Customer of the tool LifeWatch
User of the service Research groups; individual researchers
User Documentation About the Caffe deep learning framework: http://caffe.berkeleyvision.org
Technical Documentation About the Caffe deep learning framework: http://caffe.berkeleyvision.org
Product team BIFI (see contacts above)
License Released under the BSD 2-Clause License
Source code https://github.com/BVLC/caffe, https://github.com/EGI-Lifewatch-CC
Deliverable/Milestone EGI-Engage D6.1