The following are three publicly available datasets for experiments related to federated learning or machine learning.
Availability of Data and Materials: The datasets used to support the findings of this study are publicly available on Internet as follow:
MNIST: http://yann.lecun.com/exdb/mnist/;
SVHN: https://gas.graviti.cn/dataset/data-decorators/SVHN;
CIFAR-10: https://www.cs.toronto.edu/~kriz/cifar.html.
In agriculture, the development of early treatment techniques for plant leaf diseases can be significantly enhanced by employing precise and rapid automatic detection methods. Within this realm of research, two common scenarios encountered in real field cases are the identification of different severity stages of diseases and the detection of multiple pathogens simultaneously affecting a single plant leaf. One major challenge faced in this area is the lack of publicly available datasets that contain images captured under these specific conditions.
