Scipediacontent: Scipediacontent moved page Draft Content 385829256 to Satar Dirik 2018a

2021-01-25T10:44:21Z

Scipediacontent moved page Draft Content 385829256 to Satar Dirik 2018a

Scipediacontent: Created page with " == Abstract == This paper studies the problems of vehicle make & model classification. Some of the main challenges are reaching high classification accuracy and reducing the..."

2021-01-25T10:44:18Z

Created page with " == Abstract == This paper studies the problems of vehicle make & model classification. Some of the main challenges are reaching high classification accuracy and reducing the..."

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== Abstract ==

This paper studies the problems of vehicle make & model classification. Some of the main challenges are reaching high classification accuracy and reducing the annotation time of the images. To address these problems, we have created a fine-grained database using online vehicle marketplaces of Turkey. A pipeline is proposed to combine an SSD (Single Shot Multibox Detector) model with a CNN (Convolutional Neural Network) model to train on the database. In the pipeline, we first detect the vehicles by following an algorithm which reduces the time for annotation. Then, we feed them into the CNN model. It is reached approximately 4% better classification accuracy result than using a conventional CNN model. Next, we propose to use the detected vehicles as ground truth bounding box (GTBB) of the images and feed them into an SSD model in another pipeline. At this stage, it is reached reasonable classification accuracy result without using perfectly shaped GTBB. Lastly, an application is implemented in a use case by using our proposed pipelines. It detects the unauthorized vehicles by comparing their license plate numbers and make & models. It is assumed that license plates are readable.

== Original document ==

The different versions of the original document can be found in:

* [http://arxiv.org/abs/1809.00953 http://arxiv.org/abs/1809.00953]

* [http://arxiv.org/pdf/1809.00953 http://arxiv.org/pdf/1809.00953]

* [http://link.springer.com/content/pdf/10.1007/978-3-030-01424-7_53 http://link.springer.com/content/pdf/10.1007/978-3-030-01424-7_53],
: [http://dx.doi.org/10.1007/978-3-030-01424-7_53 http://dx.doi.org/10.1007/978-3-030-01424-7_53] under the license http://www.springer.com/tdm

* [https://dblp.uni-trier.de/db/journals/corr/corr1809.html#abs-1809-00953 https://dblp.uni-trier.de/db/journals/corr/corr1809.html#abs-1809-00953],
: [https://arxiv.org/abs/1809.00953 https://arxiv.org/abs/1809.00953],
: [https://arxiv.org/pdf/1809.00953 https://arxiv.org/pdf/1809.00953],
: [https://link.springer.com/chapter/10.1007/978-3-030-01424-7_53 https://link.springer.com/chapter/10.1007/978-3-030-01424-7_53],
: [http://acikerisim.uludag.edu.tr/jspui/handle/11452/1503 http://acikerisim.uludag.edu.tr/jspui/handle/11452/1503],
: [http://export.arxiv.org/pdf/1809.00953 http://export.arxiv.org/pdf/1809.00953],
: [https://uk.arxiv.org/abs/1809.00953 https://uk.arxiv.org/abs/1809.00953],
: [http://export.arxiv.org/abs/1809.00953 http://export.arxiv.org/abs/1809.00953],
: [https://academic.microsoft.com/#/detail/2890855203 https://academic.microsoft.com/#/detail/2890855203]

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Satar Dirik 2018a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 385829256 to Satar Dirik 2018a

Scipediacontent: Created page with " == Abstract == This paper studies the problems of vehicle make & model classification. Some of the main challenges are reaching high classification accuracy and reducing the..."