Powering vision AI applications in Media & Content
Weaving human and machine intelligence to help deep learning teams reach production at scale
Enriching AI capabilities in media & content
When discussing media and content applications, we speak of a collection of industries in which visual data is being constantly generated, shared and reviewed among the masses. Whether it is social networks, sports broadcasting or E-commerce applications – all have audiences that acquire high volumes of targeted data in near real-time, meaning models must perform well at scale and in diverse environments.
To answer such demands, Dataloop’s platform integrates automatic active learning with human-in-the-loop functions for data validation, all hosted on advanced Kubernetes-powered infrastructure. This way, deployed models are continuously fed with new, representative and validated data, which comes directly from production environments in real-time. That ensures that your models produce highly accurate outputs fast, with virtually unlimited scalability.
Dataloop's real-world media applications
Select use cases that Dataloop advances
- Learn how to build and deploy powerful computer vision pipelines
- Get a full overview of the Data Management and Annotation Studio platform
- Discover how to accelerate your data pipelines with Python SDK or REST API integrations
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Dataloop’s Use-cases
Enterprise
Power collaborations across the organization
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data Annotation
High quality annotations made fast and easy
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Data operations
A single source of truth for your ML data
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deep learning
Build, develop and scale your pipelines
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Enterprise-grade data engine
Ensuring highest data standards that serve your entire data organization, allowing cross-functional collaboration while keeping your data access internal
Quality
High performance for large volumes of data, 99.9% uptime SLA, providing auto-scaling infrastructure that supports your ever-growing data operations
Security
Full encryption keeping your data constantly safe, compliant with military-grade security standards and certified by comprehensive system audits
Privacy
Custom authentication and role permission enforcement. Using advanced Kubernetes-powered infrastructure for on-premises or private storage deployments
“Working with Dataloop has proven to save Odysight.AI significantly in regards to money and time, by automating once tedious data-engineering and models’ evaluation procedures”
“The team at Dataloop provide a powerful platform with a suite of tools. Thanks to Dataloop, we're able to successfully test our algorithms and improve our ADAS and autonomous driving features"
“Data accuracy is critical to the development of our autonomous systems. Dataloop provides our team with a powerful and intuitive platform that allows us to create top quality and accurate datasets”
