Cow identification network trained with similarity learning

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Abstract

Cow identification is a key phase in automated processing of cow video footage for behavioural analysis. Previous cow identification works have achieved up to 97.01% accuracy on 45 cows and 94.7% on datasets containing up to 200 cows. This paper presents new results from applying similarity learning to a cow identification Convolutional Neural Network on a group of 537 cows. Our method achieves identification accuracy of up to 99.3% and generalizes well to new cows, eliminating the need for retraining every time a new cow is added to the heard.
Original languageEnglish
Number of pages2
Publication statusPublished - 2 Sept 2022
EventEuropean Conference on Precision Livestock Farming: International Conference on Precision Dairy Farming - Vienna, Austria
Duration: 29 Aug 20222 Sept 2022

Conference

ConferenceEuropean Conference on Precision Livestock Farming
Country/TerritoryAustria
CityVienna
Period29/08/222/09/22

Keywords

  • cow identification
  • behavioural analysis
  • convolutional neural network

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