A1 Journal article (refereed)
Benchmark Database for Fine-Grained Image Classification of Benthic Macroinvertebrates (2018)
Raitoharju, J., Riabchenko, E., Ahmad, I., Iosifidis, A., Gabbouj, M., Kiranyaz, S., Tirronen, V., Ärje, J., Kärkkäinen, S., & Meissner, K. (2018). Benchmark Database for Fine-Grained Image Classification of Benthic Macroinvertebrates. Image and Vision Computing, 78, 73-83. https://doi.org/10.1016/j.imavis.2018.06.005
JYU authors or editors
Publication details
All authors or editors: Raitoharju, Jenni; Riabchenko, Ekaterina; Ahmad, Iftikhar; Iosifidis, Alexandros; Gabbouj, Moncef; Kiranyaz, Serkan; Tirronen, Ville; Ärje, Johanna; Kärkkäinen, Salme; Meissner, Kristian
Journal or series: Image and Vision Computing
ISSN: 0262-8856
eISSN: 1872-8138
Publication year: 2018
Volume: 78
Issue number: 0
Pages range: 73-83
Publisher: Elsevier BV
Publication country: Netherlands
Publication language: English
DOI: https://doi.org/10.1016/j.imavis.2018.06.005
Publication open access: Not open
Publication channel open access:
Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/59563
Keywords: water quality; monitoring; invertebrates; determination of species; computer vision; machine learning; neural networks (information technology)
Free keywords: biomonitoring; fine-grained classification; benthic macroinvertebrates; deep learning; convolutional neural networks
Contributing organizations
Related projects
- Advanced Computational and Statistical Techniques for Biomonitoring and Aquatic Ecosystem Service Management
- Kärkkäinen, Salme
- Academy of Finland
Ministry reporting: Yes
Reporting Year: 2018
JUFO rating: 2