Paper
7 September 2022 Intelligent flower recognition system based on deep learning
Fenfei Gu
Author Affiliations +
Proceedings Volume 12329, Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022); 1232903 (2022) https://doi.org/10.1117/12.2646860
Event: Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022), 2022, Changsha, China
Abstract
With the continuous expansion of the application fields of deep learning, human life is becoming more and more wonderful. This paper mainly uses the application of deep learning in the field of image recognition and uses deep learning algorithm to recognition the problem of flowers. Due to the huge number of flowering species, How to automatically recognition flowers through the system gives people more understanding of flowers while appreciating them, which is a topic with practical application value. This paper constructs a deep learning multi-classification model based on ResNet, and conducts training based on PyTorch framework on the data set of more than 3000 pictures of five kinds of flowers. After 50 rounds of iterative training, it finally achieves 91% average accuracy on the test dataset.Finally, a recognition system based on this model is realized by visualization technology, so as to facilitate users to effectively recognize the kind of flowers through this system.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fenfei Gu "Intelligent flower recognition system based on deep learning", Proc. SPIE 12329, Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022), 1232903 (7 September 2022); https://doi.org/10.1117/12.2646860
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KEYWORDS
Convolution

Intelligence systems

Image processing

Evolutionary algorithms

Visualization

Convolutional neural networks

Machine learning

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