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- W3167930666 abstract "Multi label Image classification using Convolutional Neural Network is yet very difficult when it comes to performing. However, Single Label Image Classification can be performed easily and promisingly. As there are many categories of objects in a real world image, it becomes difficult to label them under various categories and also because of the lack of multi-label training image and high complexity. This paper surveys different Convolutional Neural Network (CNN) using Single Label Image Classification on which Multi Label Image Classification can be performed with High Accuracy. We have also learnt different trained Convolutional Neural Network architecture using UC MERCED Dataset which is essayed in this paper." @default.
- W3167930666 created "2021-06-22" @default.
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- W3167930666 date "2020-06-30" @default.
- W3167930666 modified "2023-09-23" @default.
- W3167930666 title "A survey to study about different Convolutional Neural Network on various image classifications" @default.
- W3167930666 hasPublicationYear "2020" @default.
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