Deep Learning Based Weather Classification System |
Author(s): |
| V. R. Patil , Department of CSE, Ashokrao Mane Group of Institutions, Vathar, MH, India.; P S Powar, Department of CSE, Ashokrao Mane Group of Institutions, Vathar, MH, India. |
Keywords: |
| Weather Image Classification, Deep Learning, CNN, Prediction |
Abstract |
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The recent work using Deep Learning has shown promising results in various domains. The present scenario of weather detection is laborious and time consuming. Therefore, it's crucial to include a preprocessing step that determines the weather for an incoming picture, followed by the appropriate deweathering procedures. This research considers the most prevalent weather scenarios to offer a deep learning-based environmental image classification system. The proposed system utilized four DCN pretrained networks for weather image classification. The best optimized ResNet attained with accuracy of 97.31%, precision of 86.99%, sensitivity of 86.44% and f1-score of 86.70%. Further, the proposed weather classification will be helpful in deployment of real time environment. |
Other Details |
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Paper ID: IJSRDV11I90051 Published in: Volume : 11, Issue : 9 Publication Date: 01/12/2023 Page(s): 66-69 |
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