Please use this identifier to cite or link to this item:
http://hdl.handle.net/10553/57379
| Title: | Deep learning vs classical computer vision techniques for microplastics classication | Authors: | Lorenzo-Navarro, Javier Castrillón Santana, Modesto Herrera, Alicia Martínez, Ico Marín Reyes, Pedro Gómez, May |
UNESCO Clasification: | Investigación | Keywords: | Deep learning Computer vision Microplastic classification |
Issue Date: | 2018 | Conference: | MICRO2018. Fate and Impacts of Microplastics: Knowledge, Actions and Solutions | URI: | http://hdl.handle.net/10553/57379 | ISBN: | 978-84-09-06477-9 | Source: | MICRO 2018. Fate and Impact of Microplastics: Knowledge, Actions and Solutions. From 19th to 23rd of November, EOMAR participated in MICRO2018 International Conference: Fate and Impact of Microplastics: Knowledge, Actions and Solutions, celebrated in Lanzarote, Canary Island. p. 128-129 |
| Appears in Collections: | Actas de congresos |
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