Image Classification Using Convolutional Neural Network

A. S. Shelar, S. K. Patil

Abstract


Scene recognition is a task of computer vision. The project is all about to detect the scene with its attribute and category. Here, it is going to use convolutional neural network (CNN) to detect the scene. Convolutional neural network is effective for image classification. To get accurate results we must learn the deep features of image which is possible with the help of convolutional neural network. Here, we are going to train two specific convolutional neural networks in which one of the convolutional neural network is of object centric and the other is of scene centric. These two networks will work parallel which will reduce the response time of the system and improve the accuracy.

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References


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Bavin Ondieki,“Convolutional Neural Networks for Scene Recognition” Stanford University.(2016)

Bolei Zhou1, Agata Latdriza, Adtiya Khosala, “Places: A 10 million image database for scene recognition” IEEE Transactions on Pattern Analysis and Machine Intelligence. (2017)




DOI: https://doi.org/10.23956/ijarcsse.v9i5.1011

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