Object Detection using YOLOv3
Object Detection using YOLOv3
The aim of this work is to provide an overview of artificial neural networks and methods for object recognition within an image. Many methods will be thoroughly explained to gain perspective about the best approach to implement the image object detection system. Transfer learning should be used to keep track of the number of images required to train a small network. The results obtained can thus be compared and discussed.
ddc:004, ddc:006, methods for object recognition, info:eu-repo/classification/ddc/006, 006, DDC::0** Informatik, Informationswissenschaft, allgemeine Werke::00* Informatik, Wissen, Systeme::006 Spezielle Computerverfahren, artificial neural networks, 004, Transfer learning
ddc:004, ddc:006, methods for object recognition, info:eu-repo/classification/ddc/006, 006, DDC::0** Informatik, Informationswissenschaft, allgemeine Werke::00* Informatik, Wissen, Systeme::006 Spezielle Computerverfahren, artificial neural networks, 004, Transfer learning
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