This dataset contains plant disease in eight important vegetables of New Zealand, including beans, broccoli, cabbage, cauliflower, kumara, peas, potato, and tomato for the paper, “A Weight Optimization-based Transfer Learning Approach for Plant Disease Detection of New Zealand Vegetables” published with Open Access by Frontiers in Plant Science.
The images were acquired by using Samsung Galaxy S10 plus: 12 MP f/1.5-2.4 (wide), 12 MP f/2.4 (telephoto), and 16 MP, f/2.2 (ultrawide). The images were taken at a working distance of 200-300 mm.
Locations: Auckland and Palmerston North, New Zealand.
The dataset is licensed under CC BY 4.0 license. The contents of this repository are released under an Apache 2 license.
- Training dataset (1.2 GB)
- Validation dataset (338 MB)
- Testing dataset (170 MB)
- External testing dataset (54 MB)
This repository is a part of the PhD research of Muhammad Hammad Saleem (H.Saleem@massey.ac.nz; engr.hammadsaleem@gmail.com)
In case of any query, please contact Dr. Khalid Mahmood Arif (K.Arif@massey.ac.nz), Muhammad Hammad Saleem (H.Saleem@massey.ac.nz; engr.hammadsaleem@gmail.com)