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- Title
Sistema automático de clasificación de peces.
- Authors
Jiménez Moreno, Robinson; Martínez Baquero, Javier Eduardo; Rodríguez Umaña, Luis Alfredo
- Abstract
the present article exposes the design of a network architecture for pattern recognition, oriented to the automatic classification of two types of fish: mojarra and tilapia. An architecture based on deep learning is used by means of a convolutional neuronal network (CNN), for which the database to be used and the different hyperparameters that compose it are determined. It is possible to obtain, through confusion matrix analysis, a 100% performance of the network under the controlled conditions of the classification system, that is: uniform conveyor belt color and daylight use.
- Publication
Visión Electrónica, 2018, Vol 12, Issue 2, p1
- ISSN
1909-9746
- Publication type
Article
- DOI
10.14483/22484728.14265