Applications of synthetic data
Bridge the training gap in human-centric AI models
Unity’s human-centric data generator generates highly parametric, simulation-ready 3D human assets. Build unbiased AI models for augmented and virtual reality applications, autonomous driving, human pose estimation, action recognition, tracking and more that involve people – without using real-world human data.
Fast-track smart home application development
Whether you are training a security application or an intelligent home gadget or robot, synthetic data can fast-track your development, training and deployment process. Unity Computer Vision offers an easy-to-use dataset generator that comes preloaded with home dataset templates.
Case studies
Ouva
Ouva’s simulated healthcare data platform harnesses the power of synthetic data to improve model performance by over 10%, reduce labeling costs by up to $40,000, create balanced datasets in hours instead of weeks, and reduce iteration cycles from weeks to days.
Boeing
In this interview, learn how Boeing worked with Unity to generate over 100,000 synthetic images to better train the machine learning algorithms of its augmented reality (AR)-powered aircraft inspection application.
Passio
Gain insight into how Passio combines Unity’s synthetic data with real-world data to expand its datasets and speed up AI training for AI and augmented reality (AR) applications.
Neural Pocket
Learn how AI startup Neural Pocket used Unity Computer Vision to significantly reduce computer vision model development costs and time to deployment (from 24 weeks to 1 week).
常见问题解答
如果你具有 Unity 专业知识,可以使用我们的工具构建自己的数据集(免费)。
在以下情况下,您可以从合成数据受益:
- 您只有很小的现实世界数据样本集。在这种情况下,您可以使用 Unity Computer Vision 生成大量合成数据,以扩充现实世界数据并提高模型性能。
- 您无法为项目收集到正确的现实世界数据。在这种情况下,您可以使用 Unity Computer Vision 生成高质量的已标记合成图像,并使用纯合成数据来引导您的模型。