Generative AI refers to a category of artificial intelligence techniques that involve generating new data, such as images, text, audio, and more, based on patterns learned from existing data. Generative models like Generative Adversarial Networks (GANs) and Variational Auto-Encoders (VAEs) have demonstrated remarkable capabilities in generating realistic and diverse data for various purposes, including data collection.
Leverage Generative AI for Data Collection
Data Augmentation
Generative models can create new samples that closely resemble your existing data. By incorporating these generated samples into your training data, you can improve your model's performance and resilience, particularly in tasks such as image classification and object detection.