About Us

Magic Data Tech Introduces Annotator® 5.0, A Data Annotation Platform

Artificial Intelligence (AI) , Machine Learning (ML), Natural Language Processing (NLP), Deep Learning (DL), AI Model, AI-powered Solutions, Digital Transformation, ML Model, Natural Language Understanding (NLU), AI News, Artificial Intelligence News
A VPN is an essential component of IT security, whether you’re just starting a business or are already up and running. Most business interactions and transactions happen online and VPN

An independent data annotation system, Annotator® 5.0, was launched by Magic Data Tech at World Artificial Intelligence Conference (WAIC) 2021, which is a global symposia in which AI innovation ideas, technologies, and applications are shared and discussed.

Magic Data Tech provides the industry with massive, high-quality data through multi-modal conversational AI data services. Enterprises and academic institutions can obtain data services from the company for Artificial Intelligence (AI) R&D and applied research related to speech recognition, text-to-speech, and natural language processing with fields such as finance, automobile, social networks, housing intelligence, and end-user devices.

Dr. Qingqing Zhang, CEO of Magic Data Tech, said: “The importance of data has been well noted in the AI industry but the processes of getting high-quality data have always been time-consuming. With Annotator® 5.0’s assistance in improving data annotation efficiency, we want more companies and individuals will be freed up to spend more time on other AI-related subjects like model design.”
A leading AI data services provider, Magic Data Tech developed its own sophisticated data annotation platform – Annotator® 5.0 – to accommodate changing markets.

Annotator® 5.0 includes the following features:

  • Multi-model annotation – different types of data, such as voice and images, can be simultaneously annotated.
  • Use-defined work process – Annotation tasks can be assigned and separated in various ways.
  • Visualization management – Annotation processes can be visualized.
  • AI-assistant – Intelligent annotation and quality control are made possible by the built-in AI model.

Recent News