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What is OORT DataHub?

Our innovative decentralized platform enhances the process of AI data collection and labeling by utilizing a vast network of global contributors. By merging the capabilities of crowdsourcing with the security of blockchain technology, we provide high-quality datasets that are easily traceable. Key Features of the Platform: Global Contributor Access: Leverage a diverse pool of contributors for extensive data collection. Blockchain Integrity: Each input is meticulously monitored and confirmed on the blockchain. Commitment to Excellence: Professional validation guarantees top-notch data quality. Advantages of Using Our Platform: Accelerated data collection processes. Thorough provenance tracking for all datasets. Datasets that are validated and ready for immediate AI applications. Economically efficient operations on a global scale. Adaptable network of contributors to meet varied needs. Operational Process: Identify Your Requirements: Outline the specifics of your data collection project. Engagement of Contributors: Global contributors are alerted and begin the data gathering process. Quality Assurance: A human verification layer is implemented to authenticate all contributions. Sample Assessment: Review a sample of the dataset for your approval. Final Submission: Once approved, the complete dataset is delivered to you, ensuring it meets your expectations. This thorough approach guarantees that you receive the highest quality data tailored to your needs.

What is Encord?

High-quality data is essential for optimizing model performance to its fullest potential. You can generate and oversee training data tailored for various visual modalities. By troubleshooting models, enhancing performance, and personalizing foundational models, you can elevate your work. Implementing expert review, quality assurance, and quality control workflows enables you to provide superior datasets for your AI teams, leading to increased model efficacy. Encord's Python SDK facilitates the integration of your data and models while enabling the creation of automated pipelines for the training of machine learning models. Additionally, enhancing model precision involves detecting biases and inaccuracies in your data, labels, and models, ensuring that every aspect of your training process is refined and effective. By focusing on these improvements, you can significantly advance the overall quality of your AI initiatives.

Media

Media

Integrations Supported

Integrations Supported

Cogito
Innovatiana
Python

API Availability

API Availability

Has API

Pricing Information

Please contact us to get a quote on pricing

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

OORT DataHub

Company Location

United States

Company Website

www.oortech.com

Company Facts

Organization Name

Encord

Company Location

United Kingdom

Company Website

encord.com

Categories and Features

AI Development

Not specified

AI Infrastructure

Not specified

Blockchain

Not specified

Crowdsourcing

Not specified

Data Annotation

Not specified

Data Collection

Not specified

Data Labeling

Not specified

RLHF

Not specified

Web Dataset Providers

Not specified

Categories and Features

AI Development

Not specified

Data Annotation

Not specified

Data Labeling

Not specified

Image Annotation

Not specified

RLHF

Not specified

Video Annotation

Not specified

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