Artificial Intelligence By Example

Testing dataset

The testing dataset flow follows the same structure as the training dataset flow described previously. However, for testing purposes, the task can be made easier or more difficult depending on the choice of the model. This can be done by adding images with defects or noise. This will force the system into more training and the project team into more hard work to fine-tune the model. Data augmentation provides an efficient way of producing distorted images without adding images to the dataset. Both methods, among many others, can be applied at the same time when necessary.