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Sex Classification of Salmon Using Convolutional Neural Network
- Source :
- IMCOM
- Publication Year :
- 2020
- Publisher :
- IEEE, 2020.
-
Abstract
- In this study, we attempted to classify the sex of salmon using a convolutional neural network. We collected labeled(male/female) images of salmon and other fishes, and trained the VGG16 type neural network by implementing several data argumentation techniques, cropping the bounding box of salmon. In evaluation, the F value of the classification result was found to be satisfactory by more than 99%. We demonstrated the focus point of the neural network using Grad-CAM and the classification ability depending on the background processing.
- Subjects :
- Artificial neural network
business.industry
Computer science
Minimum bounding box
Classification result
0202 electrical engineering, electronic engineering, information engineering
020206 networking & telecommunications
020201 artificial intelligence & image processing
Pattern recognition
02 engineering and technology
Artificial intelligence
business
Convolutional neural network
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2020 14th International Conference on Ubiquitous Information Management and Communication (IMCOM)
- Accession number :
- edsair.doi...........909fd9a6ccbf7dea19e67b04a490d870