OORT DataHub

Data collection and pre-processing in a decentralized manner

A community driven, blockchain-powered data generation platform that encourages users to contribute and preprocess data for AI applications.

Commercial launch in September 2024!

Introduction to OORT DataHub

Crowdsourced Data Solutions

  • Access to a decentralized community of contributors.

  • Scalable and flexible data collection and processing.

Incentivized Engagement

  • Rewards with $OORT tokens and exclusive NFTs

  • High levels of engagement and quality contributions.

Secure and Transparent Services

  • Offering secure, transparent, and efficient data labeling services globally.

Data Services for AI Devs & Projects

AI Data Collection

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Video Collection

Get the best videos for your models with our global network, providing diverse, high-quality, and region-specific data tailored to your needs.

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Audio Collection

Access diverse, high-quality audio recordings from global contributors, tailored to enhance voice-enabled applications and train NLP models.

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Image Collection

Access image collections from our global network, tailored to enhance your projects with region-specific data.

AI Data Pre-Processing

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Semantic Segmentation

Precise semantic segmentation for classifying image pixels by semantic meaning, crucial for advanced Al and computer vision.

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Image Classification

Ensures accurate visual representation by choosing the correct image.

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Image Labeling

Identify and categorize objects in images (e.g., 'person', 'car',

'building').

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Obiect Detection

Models locate and identify items in images.

Why Choose OORT DataHub?

Traditional Data LabelingOORT DataHub

Participation

Regional (Centralized)

Global (Decentralized)

Data Collection/Labeling Process

Non-transparent

Transparent

Payment to Contributors

Weeks or Months

Instant

Data Security

Low | Centralized Storage

High | Decentralized Storage

Labeling Tools Development

Companies

Communities

Quality Control

Manual

Semi-auto

Learn more about OORT DataHub

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