A hybrid deep-learning-architecture for identifying cotton content in fabric materials
Fig 7
Training and Evaluation approach: The dataset is split into a training set and a test set.
Data augmentation is applied to the training set, followed by model training using transfer learning and fine-tuning. Finally, the resulting model is evaluated on the test set.