Abstract
Today there are a considerable amount of algorithms that are used by scientists and developers to detect patterns in pictures. Due to the complexity of such analysis, with this paper, we want to understand and share the results of doing a model training based of a pool of pre-selected algorithms recurring to an accessible python library named ImageAI and the public cloud to perform such training. We used the Google platform Colaboraty to execute our tests.
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Acknowledgement
“This work is funded by National Funds through the FCT - Foundation for Science and Technology, IP, within the scope of the project Ref UIDB/05583/2020. Furthermore, we would like to thank the Research Centre in Digital Services (CISeD), the Polytechnic of Viseu for their support.”
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Martins, M., Mota, D., Morgado, F., Wanzeller, C., Martins, P., Abbasi, M. (2021). ImageAI: Comparison Study on Different Custom Image Recognition Algorithms. In: Rocha, Á., Adeli, H., Dzemyda, G., Moreira, F., Ramalho Correia, A.M. (eds) Trends and Applications in Information Systems and Technologies . WorldCIST 2021. Advances in Intelligent Systems and Computing, vol 1366. Springer, Cham. https://doi.org/10.1007/978-3-030-72651-5_57
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DOI: https://doi.org/10.1007/978-3-030-72651-5_57
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