Synthetic Data to Train Computer Vision Models

Overview<br/>Train computer vision models with this dataset of synthetic human faces.

The synthetic human faces dataset consists of 5,000 close-up images of diverse identities with detailed annotations such as semantic segmentation, facial landmarks, and surface normals. The images also contain a variety of backgrounds and lighting, and many different types of clothing, hair styles, and accessories. Because the dataset was developed using generative AI and cinematic CGI pipelines, there are no privacy or copyright issues.

Use Cases<br/>Close-up synthetic human faces are ideal for training models in ID Verification, biometric security, emotion sensing, AR/VR/XR, and similar applications.

Data Availability & Subscription Overview<br/>This data license gives users the right to train models for the duration of the subscription.

Documentation<br/>https://github.com/Synthesis-AI-Dev/synthesisai

Custom Datasets & Platform Access<br/>Reach out directly to the support email in the "Help" section to contact an ML engineer from Synthesis AI who will work with you to customize a dataset for your use case. An annual subscription for access to the Synthesis AI platform for generating perfectly labeled synthetic human data starts at $3,000 per month for production-scale volumes. To purchase a predefined dataset, final pricing will vary based on volume and specificity of the dataset, with a minimum purchase of $10,000.

About Synthesis AI<br/>Synthesis AI, a San Francisco-based technology company, is pioneering the use of synthetic data to build more capable and ethical computer vision models. Through a proprietary combination of generative AI and cinematic CGI pipelines, the Synthesis AI platform generates vast amounts of perfectly labeled images and videos at orders of magnitude increased speed and reduced cost compared to current human annotation approaches. Current customers include Fortune 500 companies, top smartphone manufacturers, enterprise security, automotive, global technology, and leading AR/VR/metaverse companies.

Tables Included: SYNTHETIC_DATASET<br/>Fields Included: URL (presigned s3 urls to the data)

搜集汇总

背景与挑战

背景概述

该数据集包含5000张多样化合成人脸图像，提供语义分割、面部关键点等标注，适用于ID验证、生物识别等计算机视觉任务。采用生成式AI技术创建，无隐私风险，支持订阅制使用或定制服务。