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Pré-Publication, Document De Travail Année : 2021

Cat Recognition Based on Deep Learning

Pengyin Chen
  • Fonction : Auteur
  • PersonId : 1121155
Junhao Lu
  • Fonction : Auteur
  • PersonId : 1121154

Résumé

Animal recognition and identification research is critical for animal protection and monitoring. We focused specifically on cats in this report. A method for cat recognition and identification is proposed that is based on Autoencoders and Convolutional Neural Networks (CNN). Additionally, we created a fresh dataset containing 1,994 photos of 17 cats. This article details how to utilize Autoencoder to denoise cat image data and combine it with CNN to create a strong model for the same cat recognition, which serves as motivation and a reference for future research in animal recognition.
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Dates et versions

hal-03501010 , version 1 (22-12-2021)

Identifiants

  • HAL Id : hal-03501010 , version 1

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Pengyin Chen, Arial Xiao Qin, Junhao Lu. Cat Recognition Based on Deep Learning. 2021. ⟨hal-03501010⟩
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