This technique involves generating new training data by applying various transformations to the input images, such as flipping, rotating, or scaling. This helps improve the generalization and robustness of the object detection algorithm.
This technique involves generating new training data by applying various transformations to the input images, such as flipping, rotating, or scaling. This helps improve the generalization and robustness of the object detection algorithm.