Publication: Reconocimiento de razas de perro en imágenes mediante técnicas de aprendizaje profundo
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2023
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Abstract
En este trabajo se presenta una aplicación para la identificación de razas de perro, utilizando técnicas de aprendizaje profundo. Para ello se utilizan redes neuronales convolucionales, las cuales se entrenan en una primera instancia, para después proceder a identificar a qué raza de perro pertenece el perro de la imagen cargada por el usuario en la aplicación. En la aplicación se permite usar AlexNet y GoogleNet, con sus diferentes parámetros y opciones. Las imágenes también se tienen que ajustar a unas dimensiones determinadas, y desde la misma aplicación se podrán redimensionar las imágenes para que se ajusten a estas.
In this work we present an application for the identification of dog breeds, using Deep Learning techniques. For this we have used convolutional neural networks such as AlexNet or GoogleNet, which we have trained in the first instance, to later proceed to identify which breed of dog the dog in the image uploaded by the user in the application belongs to. In the application it is allowed to use AlexNet and GoogleNet, with their different parameters and options, for this the images must also be adjusted to certain dimensions, and from the same application the images can be resized to fit them.
In this work we present an application for the identification of dog breeds, using Deep Learning techniques. For this we have used convolutional neural networks such as AlexNet or GoogleNet, which we have trained in the first instance, to later proceed to identify which breed of dog the dog in the image uploaded by the user in the application belongs to. In the application it is allowed to use AlexNet and GoogleNet, with their different parameters and options, for this the images must also be adjusted to certain dimensions, and from the same application the images can be resized to fit them.
Description
Trabajo de Fin de Grado en Ingeniería del Software, Facultad de Informática UCM, Departamento de Ingeniería del Software e Inteligencia Artificial (ISIA), Curso 2022-2023.
https://github.com/aolmo01/TFG