Convolutional Network, Computer Vision, Neural Networks, Deep Learning, Machine Learning.
you don’t have a large image dataset, it’s a good practice to artificially introduce sample diversity by applying random yet realistic transformations to the training images, such as random horizontal flipping or small random rotations. This helps expose the model to different aspects of the