Journal of Applied Engineering Education(JAEE)

Researcher, a little map, Greece

Publications

• Research Article   
  Introducing Deucalion and Pyrrha v1.0: Image Datasets for Disaster Management of Floods
  Author(s): Stathis G. Arapostathis*
  
  Current paper, introduces Deucalion and Pyrrha, two image datasets for disaster management (DM) of floods. Deucalion v1.0 is consisted of 10240 photos. Main acquisition sources were Instagram, Kaggle datasets, video frames extracted from YouTube videos, Flickr photos and various search engine queries. The photos have been classified in two categories: I. Related to DM and II. Not related to DM. The manually classified photos were stored into two separate folders. Pyrrha v 1.0, is consisted of 2004 photos common to Deucalion, of both classes, further processed, extracting thus segmented features useful to DM. The features were accumulated in 20 different classes, described in the manuscript. Pyrrha v1.0 was consisted of 11,393 segmented and annotated features. A VGG-19, a ResNet101, and an EfficientNetB0 DL models were fine-tuned for binary image classification, usi.. Read More»
  

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