At 4Data, we believe better AI starts with better data. AI systems learn about the world through data but collecting enough diverse, complex, and high-quality data is often slow, costly, and difficult to scale. Traditional manual collection and annotation methods have become a major bottleneck in AI development. We are changing that. 4Data develops advanced data generation technology that uses mathematics to produce unlimited, richly varied, and precisely annotated data at scale. Our approach empowers teams to train more accurate, robust, and reliable AI models faster and more efficiently.
This video demonstrates our technology in action. With a single click, we generate a wide variety of two iconic Hong Kong foods, egg tarts and pineapple buns, featuring rich geometric details and automatic annotations, ready for training AI models.
Object detection is a fundamental component of many computer vision systems. However, most off-the-shelf object detectors, such as YOLO, are trained on just 80 common object categories. Applying these models to custom tasks often requires additional training on specialized datasets, which can be difficult and time-consuming to collect.
In this demo, we showcase how 4Data's technology can generate a high-quality, custom dataset to fine-tune YOLO for detecting a specific object: the pineapple bun, a popular local pastry in Hong Kong. There is no public dataset for pineapple buns, and their appearance can vary widely across different bakeries due to unique recipes and baking styles. Capturing this diversity manually would require extensive effort and resources.
Instead, we model the pineapple bun mathematically. By designing its shape and texture through equations and randomizing the parameters, we can generate a wide range of realistic variations. These synthetic buns are then placed into randomized scenes alongside other objects, creating complex training examples with accurate, automatic annotations. The images below show examples of these generated scenes and their corresponding annotations.
Using only this synthetic dataset, we fine-tuned an off-the-shelf YOLO model. The result? Our model, trained exclusively on generated data, successfully detects real pineapple buns in real-world images, demonstrating the power and practicality of our synthetic data in AI development.
You can try generating your own pineapple bun image on our demo page. The generated image is licensed under Creative Commons Attribution 4.0 License.
Design and render AI training data (images and videos) with annotations for your AI applications.
Train AI models with our data and deploy the models for your AI applications.
Propose and design AI solutions for your applications, and perform feasibility study.
Ph.D. in Computer Science
Princeton University
Dr. Law possesses years of experience in both fundamental and applied AI research. His research covers synthetic data, computer vision and machine learning in healthcare, and has received over 5000 citations in total. He also has experience in applying cutting edge research to real-world applications and deploying them.
M.Sc. in Data Science
The University of Hong Kong
Mr. Tsui is an expert in designing and implementing machine learning algorithms and models for advanced data analysis. He has extensive project management experience in various top consulting firms, and has led to tens of millions of HKD closed deals.
B.Comm. in Accounting
Hong Kong Shue Yan University
Mr. Cheng is an expert in business management, and has years of business management experience in multinational banks. He excels at business planning, evaluation, performance analysis and improvement, and accounting.
info@4data.hk
Mr. Cheng: +852-59263285
Dr. Law: +852-59269992
Mr. Tsui: +852-95322485
Address
G08, Blk FG, 20/F, Golden Bear Ind Ctr, 66-82 Chai Wan Kok St, Tsuen Wan, Hong Kong
Copyright © 2025 All Rights Reserved By 4Data Limited
