Fruit quality and defect image classification with conditional GAN data augmentation

Author:

Bird Jordan J.,Barnes Chloe M.,Manso Luis J.,Ekárt Anikó,Faria Diego R.

Publisher

Elsevier BV

Subject

Horticulture

Reference57 articles.

1. Tomato plant disease detection using transfer learning with C-GAN synthetic images;Abbas;Comput. Electron. Agric.,2021

2. Adamiak, M., 2020. Lemons quality control dataset. https://github.com/softwaremill/lemon-dataset. Accessed: 16th March 2021. doi:10.5281/zenodo.3965568.

3. Generative adversarial networks to augment micro-doppler signatures for the classification of human activity;Alnujaim,2019

4. The using of data augmentation in machine learning in image processing tasks in the face of data scarcity;Andriyanov,2020

5. Parkinson’s disease EMG data augmentation and simulation with DCGANS and style transfer;Anicet Zanini;Sensors,2020

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