Weather Image Classification Using Convolution Neural Network

Abstract:

A real-world weather prediction system that detects and describes weather condition in image data is becoming prominent subject in machine vision . These systems are designed to address the challenge of weather classification using machine vision. Advances in the fields of Artificial Intelligence and Machine Learning enables applications to take on the image recognition capabilities to identify the input image . Deep learning is a vast field and narrow focusing a bit and takes up the challenge of solving an Image Classification process. Proposed deep learning algorithms by tensorflow or keras by classifying the image of weather reports by convolution neural network. CNN is an artificial neural network which inspires animal neural cortex and built upon it . The images are passed through the neural network which consists of multiple layers and filters and then identified and classified according to the weather type. The algorithm is inspired by the brain and so named as Convolution neural network.

• Periodical: Advances in Science and Technology (Volume 124)
• Pages: 197-202
• DOI: https://doi.org/10.4028/p-2kzgh5
• Online since: February 2023
• Authors: Sanjay Nambiar, P Arjun*, Deepak R. Venkateswar, M. Rajavel
• Keywords: Convolutional Neural Network (CNN), Deep Learning, Image Recognition, Visual Cortex

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