Difference between revisions of "EGI-Engage:WP6 Caffe"
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| '''User Documentation''' | | '''User Documentation''' | ||
| | | About the Caffe deep learning framework: [http://caffe.berkeleyvision.org http://caffe.berkeleyvision.org] | ||
|- | |- | ||
| '''Technical Documentation''' | | '''Technical Documentation''' | ||
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| '''Source code''' | | '''Source code''' | ||
| https://github.com/BVLC/caffe, https://github.com/EGI-Lifewatch-CC | | https://github.com/BVLC/caffe, https://github.com/EGI-Lifewatch-CC | ||
|- | |- | ||
| '''Deliverable/Milestone''' | | '''Deliverable/Milestone''' | ||
| EGI-Engage D6.1 | | EGI-Engage D6.1 | ||
|} | |} | ||
= | = = |
Latest revision as of 16:53, 27 November 2015
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 |