Pattern recognition with convolutional neural networks: humpback whale tails

This paper presents a study and implementation of a convolutional neural network to identify and recognize humpback whale specimens from the unique patterns of their tails. Starting from a dataset composed of images of whale tails, all the phases of the process of creation and training of a neural n...

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Main Authors: Mingo Lopez, Fernando De, Morales Lucas, Clemencio, Gomez Blas, Nuria, Ivanova, Krassimira
Format: Article in Journal/Newspaper
Language:English
Published: E.T.S.I de Sistemas Informáticos (UPM) 2019
Subjects:
Informática
Humpback Whale
Online Access:https://oa.upm.es/68093/
id ftunivpmadrid:oai:oa.upm.es:68093
record_format openpolar
spelling ftunivpmadrid:oai:oa.upm.es:68093 2023-05-15T16:35:49+02:00 Pattern recognition with convolutional neural networks: humpback whale tails Mingo Lopez, Fernando De Morales Lucas, Clemencio Gomez Blas, Nuria Ivanova, Krassimira 2019-02 application/pdf https://oa.upm.es/68093/ eng eng E.T.S.I de Sistemas Informáticos (UPM) https://www.preprints.org/ info:eu-repo/semantics/altIdentifier/doi/10.20944/preprints201902.0257.v1 https://oa.upm.es/68093/ https://creativecommons.org/licenses/by-nc-nd/3.0/es/ info:eu-repo/semantics/openAccess CC-BY-NC-ND Preprints, ISSN 2095-8099, 2019-02 Informática info:eu-repo/semantics/article Artículo PeerReviewed 2019 ftunivpmadrid https://doi.org/10.20944/preprints201902.0257.v1 2022-06-06T18:28:20Z This paper presents a study and implementation of a convolutional neural network to identify and recognize humpback whale specimens from the unique patterns of their tails. Starting from a dataset composed of images of whale tails, all the phases of the process of creation and training of a neural network are detailed ? from the analysis and pre-processing of images to the elaboration of predictions, using TensorFlow and Keras frameworks. Other possible alternatives are also explained when it comes to tackling this problem and the complications that have arisen during the process of developing this paper. Article in Journal/Newspaper Humpback Whale Archivo Digital UPM (Universidad Politécnica de Madrid)
institution Open Polar
collection Archivo Digital UPM (Universidad Politécnica de Madrid)
op_collection_id ftunivpmadrid
language English
topic Informática
spellingShingle Informática
Mingo Lopez, Fernando De
Morales Lucas, Clemencio
Gomez Blas, Nuria
Ivanova, Krassimira
Pattern recognition with convolutional neural networks: humpback whale tails
topic_facet Informática
description This paper presents a study and implementation of a convolutional neural network to identify and recognize humpback whale specimens from the unique patterns of their tails. Starting from a dataset composed of images of whale tails, all the phases of the process of creation and training of a neural network are detailed ? from the analysis and pre-processing of images to the elaboration of predictions, using TensorFlow and Keras frameworks. Other possible alternatives are also explained when it comes to tackling this problem and the complications that have arisen during the process of developing this paper.
format Article in Journal/Newspaper
author Mingo Lopez, Fernando De
Morales Lucas, Clemencio
Gomez Blas, Nuria
Ivanova, Krassimira
author_facet Mingo Lopez, Fernando De
Morales Lucas, Clemencio
Gomez Blas, Nuria
Ivanova, Krassimira
author_sort Mingo Lopez, Fernando De
title Pattern recognition with convolutional neural networks: humpback whale tails
title_short Pattern recognition with convolutional neural networks: humpback whale tails
title_full Pattern recognition with convolutional neural networks: humpback whale tails
title_fullStr Pattern recognition with convolutional neural networks: humpback whale tails
title_full_unstemmed Pattern recognition with convolutional neural networks: humpback whale tails
title_sort pattern recognition with convolutional neural networks: humpback whale tails
publisher E.T.S.I de Sistemas Informáticos (UPM)
publishDate 2019
url https://oa.upm.es/68093/
genre Humpback Whale
genre_facet Humpback Whale
op_source Preprints, ISSN 2095-8099, 2019-02
op_relation https://www.preprints.org/
info:eu-repo/semantics/altIdentifier/doi/10.20944/preprints201902.0257.v1
https://oa.upm.es/68093/
op_rights https://creativecommons.org/licenses/by-nc-nd/3.0/es/
info:eu-repo/semantics/openAccess
op_rightsnorm CC-BY-NC-ND
op_doi https://doi.org/10.20944/preprints201902.0257.v1
_version_ 1766026122491854848

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