Data Annotation Services for AI & ML Models
Scalable, accurate, and customizable annotation solutions for NLP, computer vision, and speech recognition.
- Text, image, video, and audio annotation
- Automated, hybrid, or human-supervised workflows
- Scalable solutions for AI and ML training
Data Annotation Services We Offer
- High-quality data annotation for AI and machine learning models, including text, image, video, and audio.
- Improve NLP, computer vision, and speech recognition with precise labeling solutions.
- Choose from automated, hybrid, or human-supervised annotation to fit your project’s needs and budget.
Why Choose Bright Data for Data Annotation?
- Trusted by over 20K customers, Bright Data is a leading provider of AI training data.
- It offers accurate, scalable, and secure data annotation for NLP, computer vision, and more.
- Backed by years of experience and patented technologies, it ensures high-quality labeled data.
Top-Rated by Users
Bright Data is a leading data for AI platform, trusted by over 20,000 customers worldwide.
It offers award-winning proxy networks, AI-powered web scrapers, and business-ready datasets, enabling efficient and reliable data collection across various industries.
Popular Data Annotation Use Cases
Image & Video Annotation
Medical Image Labeling
Product Categorization
Sentiment Analysis
Bright Dataは20,000以上の組織のデータを保護し、トップレベルのセキュリティを確保しています。当社のコンプライアンスには、ISO 27001 ISO 27001、SOC 2 Type II、CSA STAR Level 1に加え、最善の方法が含まれており、すべてのクライアントに安全な環境を保証します。
Listen to What Our Customers Have to Say
Ready to Enhance Your AI Models with High-Quality Data Annotation?
Data Annotation FAQs
What is data annotation?
Data annotation is the process of labeling text, images, videos, or audio to train AI and machine learning models. It helps AI understand and interpret data accurately.
What types of data can be annotated?
Bright Data provides annotation for text, images, videos, and audio, supporting applications in NLP, computer vision, and speech recognition.
How does Bright Data ensure annotation accuracy?
We use automated, hybrid, and human-supervised workflows to deliver precise and scalable annotations, backed by years of experience and patented technologies.
What industries benefit from data annotation?
Industries like autonomous vehicles, healthcare, e-commerce, and finance rely on data annotation for AI-driven applications such as image recognition, product categorization, and sentiment analysis.
Can I customize my annotation workflow?
Yes! Bright Data offers fully customizable workflows, allowing you to choose between automated, hybrid, or human-supervised annotation based on your project’s needs.