Tagger Documentation
  • About Tagger
    • 🛸 Our Vision
    • 🔌 What We Do
  • Challenges in the Current Data Economy
    • 🌏 Chaotic Data Authentication
    • 📂 Difficulty in Data Acquisition
    • 📌 Quality of Labeled Data
    • 🪝 Data Silos
    • 🛡️ Privacy and Ethical Issues
    • 🧳 The Need for Continuous Maintenance
  • Our Solutions
    • 📃 Data Authentication Protocol
    • 🌲 A Full-Stack Decentralized AI Data Solutions Platform
      • Web 3 Crowdsourcing
      • Simple Onboarding, Instant Global Payments
      • DePIN-Based Data Collection and Sharing
      • AI Copilot Labeling Tool
      • Permissionless AI Marketplace
      • Data Developer Community
      • Human-In-The-Loop
  • Tagger Features
    • Data Authentication Protocol
    • Decentralized AI Data Collection
    • Decentralized AI Data Labeling
    • Data Evaluation, Cleaning, and Processing
    • Data Trading and Management
    • HITL Telegram Mini App
  • Hardware
    • ⌚ Health Monitoring Wristband
  • Tokenomics
    • ☑️ $TAG
    • 🪙 Token Distribution
    • 💡 Task Reward Calculation
      • AI Copilot Labeling
      • Manual Labeling
      • Data Review and Staking
      • 👥 Daily Task Bonus
  • Smart Contract and Audit
    • 📄 Audits
    • 🖼️ NFT Smart Contract
    • 🪙 Token Smart Contract
  • Roadmap
  • Team
  • Contact Us
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Tagger Features

PreviousHuman-In-The-LoopNextData Authentication Protocol

Last updated 9 months ago

As illustrated in Figure 1, the primary features of TAGGER include AI data collection, AI data annotation, and data trading, supported by proprietary AI-assisted annotation tools, data authentication, and authorization system technologies.

  1. AI Dataset Collection Module:

  • Provides a platform for institutions and individual AI developers to publish data collection tasks efficiently.

  • Utilizes NLP technology to semantically analyze published tasks and automatically match them with the correct data categories.

  • Supports the creation of official datasets, including large-scale and industry-specific datasets, which act as key assets for the development of AI technologies across various industries.

  • Offers an intuitive Data Collector Module with a user-friendly interface, decentralizing data sharing.

  • Employs a dual layer of security, leveraging a dynamic mixed chaotic system for encryption and transforming dataset index files into NFTs to ensure ownership rights and data security.

  1. AI Dataset Annotation Module:

  • Provides dataset owners with clear operational guidance and user-friendly task parameter settings for publishing data annotation tasks or other data processing tasks.

  • Features a comprehensive dataset annotation tool backed by deep industry expert knowledge and AI-assisted annotation technology, lowering the knowledge barrier for participants.

  • Revolutionizes professional dataset annotation, enabling participants without prior knowledge to produce high-quality, industry-specific annotations.

  • Includes encrypted label file transfer, rights confirmation, authorization, and real-time global payment functionalities powered by encrypted currency and smart contracts.

  • Ensures dataset ownership rights and instant rewards for data annotation participants.

  1. AI Data Trading / Authorization Marketplace:

  • A decentralized AI data trading platform transcending borders, enabling global participation in AI data trading and authorization.

  • Supported by encrypted currency and smart contracts, providing real-time payment services for AI data worldwide.

  • Operates within TAGGER's data rights confirmation system, allowing users to access data transactions and authorization functions without entry barriers.

  • Introduces advanced data privacy technology, allowing data to be accessed while remaining invisible to other users, creating a novel data circulation model for the authorization and use of private data.

  • Addresses the global issue of data silos by facilitating seamless data sharing and access across borders.

Data Authentication Protocol
Decentralized AI Data Collection
Decentralized AI Data Labeling
Data Evaluation, Cleaning, and Processing
Data Trading and Management
Figure 1 Tagger's Product Structure