Surya Pratap Singh is a recent Computer Science and Engineering Graduate from fromThe NorthCap University, Gurgaon. He is in love with AI and how we can solve so many problems from easy to very complex using AI with utmost efficiency.
All Sessions by Surya Pratap Singh
August 14, 2020
[Paper Presentation] Detection of Flood Damaged Areas using Convolutional Neural Network
11:00 - 11:40
The project is titled as “Detection of flood damaged areas”. Its purpose is to detect the areas which
are affected and aren’t affected by floods using the satellite images. With help of several
architectures of Convolution Neural Networks (CNN) . We have used DenseNet 121 without any
feature extraction and attained a validation accuracy on the last epoch as 94.6% and the testing
accuracy of 97.4% further we have used ORB which has test accuracy of 95.1% and edge detection
which provides the test accuracy of 93.4%. All these architectures were performed on the same
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