OORT DataHub
Data collection and pre-processing in a decentralized manner
Last updated
Data collection and pre-processing in a decentralized manner
Last updated
OORT DataHub is a decentralized platform designed to revolutionize how AI companies and data users access and utilize data. By leveraging contributions from a global community, OORT DataHub provides AI developers with the diverse, high-quality, and verifiable data needed to solve today’s most pressing challenges in artificial intelligence development.
Global Sourcing for Diversity
Access datasets contributed by individuals from all over the world, ensuring your AI models are trained on data that reflects diverse perspectives, reducing bias, and enhancing inclusivity.
Decentralized and Transparent
Built on blockchain technology, every piece of data is traceable to its origin, stored securely on the OORT Cloud Storage network, and verified for integrity, creating a trustless ecosystem you can rely on.
Ethical and Responsible AI Development
OORT DataHub promotes ethical data usage by ensuring contributors retain ownership of their data while making it available for AI innovation in an open, fair, and secure environment.
Reliable Data Quality
Automated quality verification ensures only the most accurate and reliable data is made available, addressing a critical issue for AI model performance.
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
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.
Audio Collection
Access diverse, high-quality audio recordings from global contributors, tailored to enhance voice-enabled applications and train NLP models.
Image Collection
Access image collections from our global network, tailored to enhance your projects with region-specific data.
Semantic Segmentation
Precise semantic segmentation for classifying image pixels by semantic meaning, crucial for advanced Al and computer vision.
Image Classification
Ensures accurate visual representation by choosing the correct image.
Image Labeling
Identify and categorize objects in images (e.g., 'person', 'car',
'building').
Obiect Detection
Models locate and identify items in images.