Plant identification with deep learning ensembles in ExpertLifeCLEF 2018

Ali Ahmed, Sara Atito and Yanıkoğlu, Berrin and Aptoula, Erchan and Ganiyusufoğlu, İpek and Yıldız, Aras and Yıldırır, Kerem and Sevilmiş, Barış and Şen, Mehmet Umut (2018) Plant identification with deep learning ensembles in ExpertLifeCLEF 2018. In: 19th Working Notes of CLEF Conference and Labs of the Evaluation Forum, CLEF 2018, Avignon

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This work describes the plant identification system that we submitted to the ExpertLifeCLEF plant identification campaign in 2018. We fine-tuned two pre-trained deep learning architectures (SeNet and DensNetwork) using images shared by the CLEF organizers in 2017. Our main runs are 4 ensembles obtained with different weighted combinations of the 4 deep learning architectures. The fifth ensemble is based on deep learning features but uses Error Correcting Output Codes (ECOC) as the ensemble. Our best system has achieved a classification accuracy of 74.4%, while the best system obtained 86.7% accuracy, on the whole of the official test data. This system ranked 4th place among all the teams, but matched the accuracy of one of the human experts.
Item Type: Papers in Conference Proceedings
Uncontrolled Keywords: Convolutional neural networks; Deep learning; Plant identification
Divisions: Faculty of Engineering and Natural Sciences
Depositing User: Berrin Yanıkoğlu
Date Deposited: 03 Jun 2023 21:14
Last Modified: 03 Jun 2023 21:14

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