Data Market
Vision AI vs. CUBIG’s Real-Like Synthetic Data: A New Era in Privacy-Compliant AI Training (12/18)
Table of Contents
*Vision AI is a technology that allows computers to recognize and interpret images. Just as human eyes and brains see and recognize images, computers can process visual information through Vision AI. The technology is mainly called Computer Vision, and it has various applications, such as image classification, object recognition, and image analysis.
Introduction
Artificial intelligence has become a cornerstone of innovation across industries, especially in the field of computer vision. Vision AI models, which rely heavily on large datasets, have traditionally relied entirely on synthetic images to address data scarcity and privacy concerns. However, this approach is not without flaws. We introduce CUBIG’s innovative real-world synthetic data that has changed the game in how privacy-compliant AI education is approached.
Disadvantages of traditional Vision AI
Traditional vision AI models produce complete synthetic images using algorithms and simulations. While this method has the advantage of being able to generate large datasets quickly, it often fails to accurately replicate the complexity of the real world. For example, synthetic data can reduce costs and easily label, but it may not capture all the subtle differences and complexities of the real world.
Moreover, synthetic datasets can inadvertently lead to biases. For example, if algorithms generating synthetic images disproportionately favor certain properties (e.g., certain colors, shapes, or demographics), the resulting AI models can inherit these biases, undermining fairness and inclusivity.
CUBIG’s Real-Life Synthetic Data: Closing the Gap
CUBIG’s real-world synthetic data offers a strong alternative to addressing the above two shortcomings: privacy guarantees of synthetic data and realistic and real-world data simulations. This innovation is used to train AI models so that generated datasets closely mimic real-world scenarios while not endangering the privacy of real-world customers.
Practical Applications: Retail Object Recognition
One of the most promising use cases of cubic technology is retail. Retailers often need robust AI models for object recognition, such as inventory tracking, improved payment efficiency, and improved customer experience. However, the use of real-world customer data can lead to significant privacy concerns.
CUBIG’s real-life synthetic data allows retailers to learn AI models from realistic simulations of store environments without compromising customer privacy. These datasets include products, shelves, and even high-fidelity representations of different lighting conditions, ensuring that the resulting models are accurate and reliable.
A New Era of AI Education
Unlike traditional vision AI, which relies on artificial visuals, CUBIG’s real-life synthetic data provides a high sense of reality while maintaining strict privacy regulations. CUBIG helps the industry develop effective as well as ethical AI models by addressing the limitations of synthetic images and bridging the gap between artificial and real data.
To visit CUBIG, click here. If you’d like to explore more of our blog posts about various solutions and approaches to leveraging AI freely while protecting privacy, click here.