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National Repository of Grey Literature 2 records found  Search took 0.01 seconds. 
Detection of Graffiti Tags in Image
 Molisch, Marek ; Herout, Adam (referee) ; Špaňhel, Jakub (advisor)
The goal of this work is to compare today's architecture of object detection models and use them for the purpose of graffiti tag detection. State-of-the-art models, which are compatible with the Tensorflow framework, were used. Faster R-CNN architecture was found to be the most accurate and SSD architecture to be the fastest. Experiments with graffiti tags from Athens in the STORM dasater showed, that it is better to approach graffiti tags as objects rather than writings.
Detailed record
Detection of Graffiti Tags in Image
 Molisch, Marek ; Herout, Adam (referee) ; Špaňhel, Jakub (advisor)
The goal of this work is to compare today's architecture of object detection models and use them for the purpose of graffiti tag detection. State-of-the-art models, which are compatible with the Tensorflow framework, were used. Faster R-CNN architecture was found to be the most accurate and SSD architecture to be the fastest. Experiments with graffiti tags from Athens in the STORM dasater showed, that it is better to approach graffiti tags as objects rather than writings.
Detailed record

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