Identification of Honeybees with Paint Codes Using Convolutional Neural Networks

Gabriel Santiago-Plaza, Luke Meyers, Andrea Gomez-Jaime, Rafael Meléndez-Ríos, Fanfan Noel, Jose Agosto, Tugrul Giray, Josué Rodríguez-Cordero, Rémi Mégret

2024

Abstract

This paper proposes and evaluates methods for the automatic re-identification of honeybees marked with paint codes. It leverages deep learning models to recognize specific individuals from images, which is a key component for the automation of wild-life video monitoring. Paint code marking is traditionally used for individual re-identification in the field as it is less intrusive compared to alternative tagging approaches and is human-readable. To assess the performance of re-id using paint codes, we built a mostly balanced dataset of 8062 images of honeybees marked with one or two paint dots from 8 different colors, generating 64 distinct codes, repeated twice on distinct individual bees. This dataset was used to perform an extensive comparison of convolutional network re-identification approaches. The first approach uses supervised learning to estimate the paint code directly; the second approach uses contrastive learning to learn an identity feature vector that is then used to query a database of known identities. Best performance reached 85% correct identification for all 64 identities, and up to 97.6% for 8 identities, showing the potential of the technique. Ablation studies with variation in training data and selection of IDs provide guidance for future use of this technique in the field.

Paper Citation

in Harvard Style

Santiago-Plaza G., Meyers L., Gomez-Jaime A., Meléndez-Ríos R., Noel F., Agosto J., Giray T., Rodríguez-Cordero J. and Mégret R. (2024). Identification of Honeybees with Paint Codes Using Convolutional Neural Networks. In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: VISAPP; ISBN 978-989-758-679-8, SciTePress, pages 772-779. DOI: 10.5220/0012460600003660

in Bibtex Style

@conference{visapp24,
author={Gabriel Santiago-Plaza and Luke Meyers and Andrea Gomez-Jaime and Rafael Meléndez-Ríos and Fanfan Noel and Jose Agosto and Tugrul Giray and Josué Rodríguez-Cordero and Rémi Mégret},
title={Identification of Honeybees with Paint Codes Using Convolutional Neural Networks},
booktitle={Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: VISAPP},
year={2024},
pages={772-779},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012460600003660},
isbn={978-989-758-679-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: VISAPP
TI - Identification of Honeybees with Paint Codes Using Convolutional Neural Networks
SN - 978-989-758-679-8
AU - Santiago-Plaza G.
AU - Meyers L.
AU - Gomez-Jaime A.
AU - Meléndez-Ríos R.
AU - Noel F.
AU - Agosto J.
AU - Giray T.
AU - Rodríguez-Cordero J.
AU - Mégret R.
PY - 2024
SP - 772
EP - 779
DO - 10.5220/0012460600003660
PB - SciTePress