Author: Zen and the Art of Computer Programming
1 Introduction
Data Augmentation is a commonly used technique that can improve the accuracy and robustness of computer vision models. This article mainly introduces the principles, classification methods and applications of data enhancement technology. Through case analysis, the important role of data enhancement in improving model accuracy is explained. Finally, some problems and challenges that may be encountered in the future are discussed.
2. Background introduction
2.1 Data augmentation in computer vision
Computer vision tasks usually include image classification, object detection, object tracking, etc. The input of these tasks is one or more pictures or video frames. Before training a neural network, these images usually need to be preprocessed, that is, the original images are processed into a suitable input form. For example, for image classification tasks, the input images are generally scaled to a uniform size, and then the data is enhanced through cropping, rotation, horizontal flipping, inverse transformation, etc. to improve the generalization ability of the model.
Nowadays, with the rise of deep learning, the field of computer vision has ushered in a new technological revolution. Under the influence of these new technologies, deep learning models increasingly rely on the high quality of data. Therefore, how to effectively utilize large-scale, high-quality data for training has become a major challenge for researchers and engineers.
Since data sets are often extremely large and it is difficult to obtain sufficiently diverse samples, data enhancement needs to be performed on existing data. Data enhancement technology can perturb the original image by generating various deformed images, introducing noise, changing brightness, color, etc., without increasing the amount of data, thereby expanding the training data set and improving the performance of the model.
2.2 Classification of data enhancement
2.2.1 Methods of automatic data enhancement
Automatic data enhancement (AutoAugment) is a popular data enhancement technology in recent years. Its main idea is based on the heuristic search method (hill-