Classify broiler viscera using an iterative approach on noisy labeled training data

Anders Jørgensen*, Jens Fagertun, Thomas B. Moeslund

*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

2 Citations (Scopus)

Abstract

Poultry meat is produced and slaughtered at higher and higher rates and the manual food safety inspection is now becoming the bottleneck. An automatic computer vision system could not only increase the slaughter rates but also lead to a more consistent inspection. This paper presents a method for classifying broiler viscera into healthy and unhealthy, in a data set recorded in-line at a poultry processing plant. The results of the on-site manual inspection are used to automatically label the images during the recording. The data set consists of 36,228 images of viscera. The produced labels are noisy, so the labels in the training set are corrected through an iterative approach and ultimately used to train a convolutional neural network. The trained model is tested on a ground truth data set labelled by experts in the field. A classification accuracy of 86% was achieved on a data set with a large in-class variation.

Original languageEnglish
Title of host publicationAdvances in Visual Computing : 13th International Symposium, ISVC 2018, Las Vegas, NV, USA, November 19 – 21, 2018, Proceedings
EditorsKai Xu, Stephen Lin, Richard Boyle, Bilal Alsallakh, Matt Turek, Srikumar Ramalingam, George Bebis, Bahram Parvin, Jing Yang, Jonathan Ventura, Darko Koracin, Eduardo Cuervo
Number of pages10
PublisherSpringer
Publication date2018
Pages264-273
ISBN (Print)978-3-030-03800-7
ISBN (Electronic)978-3-030-03801-4
DOIs
Publication statusPublished - 2018
Event13th International Symposium on Visual Computing, ISVC 2018 - Las Vegas, NV, United States
Duration: 19 Nov 201821 Nov 2018

Conference

Conference13th International Symposium on Visual Computing, ISVC 2018
Country/TerritoryUnited States
CityLas Vegas, NV
Period19/11/201821/11/2018
SeriesLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11241 LNCS
ISSN0302-9743

Keywords

  • Broiler
  • Classification
  • CNN
  • Food safety
  • Viscera

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