Multi-Label Image Classification on Movies Poster using CNN
Download Working Files: https://github.com/laxmimerit/Multi-Label-Image-Classification-on-Movies-Poster-using-CNN
In this lesson, I have shown how you can do multi-label image classification. I have used 4 layers of CNN and 2 layers of Fully connected neural network. This is a really very interesting project and you are gonna enjoy it.
Original Paper can be found here: https://www.cs.ccu.edu.tw/~wtchu/projects/MoviePoster/index.html "
- Introduction We propose to achieve movie genre classification based only on movie poster images. A deep neural network is constructed to jointly describe visual appearance and object information, and classify a given movie poster image into genres. Because a movie may belong to multiple genres, this is a multi-label image classification problem. To facilitate related studies, we collect a large-scale movie poster dataset, associated with various metadata. Based on this dataset, we fine-tune a pre-trained convolutional neural network to extract visual representation and adopt a state-of-the-art framework to detect objects in posters. Two types of information are then integrated by the proposed neural network. In the evaluation, we show that the proposed method yields encouraging performance, which is much better than previous works. "
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