Finding location of a photograph with deep learning
| Autor: | Levent Karacan, Tarik Ayberk Yilikoglu, Yunus Emre Ozkose, Aykut Erdem |
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| Rok vydání: | 2018 |
| Předmět: |
Computer science
business.industry Deep learning ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 02 engineering and technology 010501 environmental sciences Machine learning computer.software_genre 01 natural sciences Convolutional neural network 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Artificial intelligence Transfer of learning business computer 0105 earth and related environmental sciences |
| Zdroj: | SIU |
| DOI: | 10.1109/siu.2018.8404530 |
| Popis: | Finding location of a photograph is a challenging computer vision problem. In this paper, different deep learning models which finds the city where a photo was taken were studied for the cities of Turkey first time. For this purpose, a new dataset in which there are photos from 15 cities of Turkey was collected and transfer learning was performed using pre-trained deep convolutional neural network(CNN) models for image recognition on big visual datasets and those pre-trained models are compared according to their prediction performances on proposed dataset. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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