This study aims to evaluate and compare various types of data augmentation in drone object detection using the YOLOv5 algorithm. Data augmentation is an important technique in image data processing to ...

A high-level module for Keras-like training with callbacks, constraints, and regularizers. Comprehensive data augmentation, transforms, sampling, and loading Utility tensor and variable functions so ...

Data augmentation is an effective way to overcome the overfitting problem of deep learning models. However, most existing studies on data augmentation work on framelike data (e.g., images), and few ...

The training and optimization of ML models require large data sets which are not available in the context of biopharmaceutical processing. Generative methods to extend data sets with realistic in ...

Generative adversarial networks (GANs) provide a promising approach for data augmentation in the context of images and biomarkers. GANs can synthesize high-quality, diverse, and realistic data that ...

Two of the most prominent industries leveraging the power of data augmentation are autonomous vehicles and healthcare: Autonomous Vehicles: Data augmentation is important for the development of ...