Flowers102() is a function in PyTorch that uses the Oxford 102 Flower dataset.
It can be used to load and work with the dataset for training, validation, and testing purposes.
The function takes several arguments, including the root directory path, split type, transform and target transform functions, and the option to download the dataset.
The dataset consists of 102 classes, with different ranges for labels in the train, validation, and test splits.