FMD

该数据集是一个用于纹理分类的基准数据集，它推荐了一项数据划分计划，以便在进行训练时能够优化模型性能。此外，该数据集在训练过程中使用了余弦退火重启调度器，这有助于提升模型的分类效果。该数据集的主要任务是进行纹理分类。

This is a benchmark dataset for texture classification. It recommends a data partitioning scheme to optimize model performance during training. Additionally, this dataset adopts the Cosine Annealing Warm Restarts Scheduler during the training process, which helps improve the model's classification performance. The primary task of this dataset is texture classification.