Influence of Quantization of Convolutional Neural Networks on Image Classification of Pollen-Bearing Bees

Tiago Mesquita Oliveira, José Maria Monteiro, José Wellington Franco, Javam Machado

2025

Abstract

Automatic recognition of pollen-carrying bees can provide important information about the operating conditions of bee colonies. It can also show the intensity of pollination activity, a fundamental aspect for many plant species and of great commercial interest for agriculture. This work analyzes fourteen deep convolutional neural network models for classifying pollen-carrying and non-pollen-carrying bees in images obtained at the hive entrance. We also analyze how the quantization process influences these results. Quantization allows you to reduce the inference time and the size of models because it performs calculations and stores numbers in a lower-precision structure. Due to the everyday use of embedded systems to obtain this image with memory and processing space restrictions, quantized models can be advantageous. We show that improving the inference time and/or the model’s size is possible without decreasing the accuracy, precision, recall, F1-score, and false positive rate performance metrics.

Paper Citation

in Harvard Style

Oliveira T., Monteiro J., Franco J. and Machado J. (2025). Influence of Quantization of Convolutional Neural Networks on Image Classification of Pollen-Bearing Bees. In Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-749-8, SciTePress, pages 147-157. DOI: 10.5220/0013475700003929

in Bibtex Style

@conference{iceis25,
author={Tiago Oliveira and José Monteiro and José Franco and Javam Machado},
title={Influence of Quantization of Convolutional Neural Networks on Image Classification of Pollen-Bearing Bees},
booktitle={Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2025},
pages={147-157},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013475700003929},
isbn={978-989-758-749-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - Influence of Quantization of Convolutional Neural Networks on Image Classification of Pollen-Bearing Bees
SN - 978-989-758-749-8
AU - Oliveira T.
AU - Monteiro J.
AU - Franco J.
AU - Machado J.
PY - 2025
SP - 147
EP - 157
DO - 10.5220/0013475700003929
PB - SciTePress