Taggy

Overview

Taggy is a specialized platform designed to streamline and enhance the process of data annotation for artificial intelligence and machine learning projects. It utilizes artificial intelligence to assist human annotators, significantly accelerating the labeling workflow and improving data quality. The platform is versatile, supporting a wide range of data types including images, videos, and text, making it suitable for various AI training requirements.

Taggy's core value proposition lies in its ability to provide scalable, efficient, and accurate data labeling operations. By leveraging AI, it helps organizations reduce the time and resources typically required for data preparation, allowing them to train and deploy AI models more rapidly. Its features are tailored for enterprise-level data annotation needs, offering capabilities like multi-format support, efficient workflow management, and API integration to fit seamlessly into existing MLOps pipelines and development environments.

Key Features

• AI-assisted data labeling
• Support for multiple data types (images, video, text)
• Scalable annotation operations
• Efficient workflow management
• API access for integration
• High data quality assurance

Supported Platforms

• Web Browser
• API Access