@inproceedings{7375754ea974416db3cc3556e72f3e25,
title = "Pig Treatment Classification on Thermal Image Data using Deep Learning",
abstract = "Recently, image classification has gained recognition in several applications like self-driving cars, security surveillance systems, face detection, etc. The conventional methods have been overtaken by deep learning methods which can detect and classify objects in complex scenarios. In this paper, we propose a simple CNN model for pig treatment classification on thermal images. The proposed model is compared with different deep learning models which are widely used for image classification. The models are evaluated with our own thermal dataset collected using a FLIR camera. The experimental results show the thermal images of different pig treatments are better classified with the proposed model. The proposed model can achieve 99.96\% accuracy with a few parameters. ",
keywords = "Classification, convolutional neural network (CNN), thermal images",
author = "Colaco, \{Savina Jassica\} and Kim, \{Jung Hwan\} and Alwin Poulose and \{van Zutphen\}, Sanne and Suresh Neethirajan and Han, \{Dong Seog\}",
year = "2022",
month = jul,
day = "20",
doi = "10.1109/ICUFN55119.2022.9829713",
language = "English",
series = "International Conference on Ubiquitous and Future Networks, ICUFN",
publisher = "IEEE",
pages = "8--11",
booktitle = "ICUFN 2022 - 13th International Conference on Ubiquitous and Future Networks",
address = "United States",
note = "13th International Conference on Ubiquitous and Future Networks, ICUFN 2022 ; Conference date: 05-07-2022 Through 08-07-2022",
}