Selay TEKGÜL, Gökçe NUR YILMAZ

Snake Detection and Blurring System to Prevent Unexpected Appearance of Snake Images on Visual Media Sources Using Deep Learning

Yayın Aralığı: Yılda 2 Sayı
Başlangıç: 2021
Yayıncı: İzmir Katip Çelebi Üniversitesi

This paper proposes an object detection and blurring system using deep learning especially for the detection of snake images since while some of the people does not care about the appearance of the snake images on the visual sources, there is a significant portion of them who are uncomfortable of seeing snakes as well as their images. Therefore, with the system that is proposed in this paper, the snake objects from the images would be detected with YOLOv4 trained model and blurred using OpenCV. The detection f1 score of the selected model is 92% on the test set.

Keywords:

blur, deep learning, object detection phobia, snake,

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