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Ango Hub

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Build, deploy, and scale AI applications faster with Ango Hub's comprehensive platform. Access pre-trained models, secure data storage, and powerful analytics tools for valuable insights. Optimize performance with expert support.

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What is Ango Hub?

Ango Hub is an advanced AI platform designed to assist companies in developing, overseeing, and implementing AI applications more efficiently. This comprehensive platform offers a wide range of features and tools that facilitate the swift creation, deployment, and expansion of AI applications. With its user-friendly graphical interface, seamless data integration capabilities, and a variety of pre-trained models and services, Ango Hub empowers users to swiftly build and scale AI applications. Additionally, Ango Hub ensures data security by providing a secure environment for data storage and management, eliminating any potential security risks. The platform's intuitive dashboard enables users to effortlessly create and manage AI models in the cloud, while also allowing them to monitor real-time results and performance of their applications. Furthermore, Ango Hub offers a suite of robust analytics tools that offer valuable insights into customer behavior, enabling businesses to enhance the overall user experience. Lastly, Ango Hub provides access to a team of experts who specialize in optimizing applications for maximum performance and scalability, further enhancing the platform's value.

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Price
Free

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Website traffic

  • Monthly visits
    2.57K
  • Avg visit duration
    00:00:38
  • Bounce rate
    9.47%
  • Unique users
    --
  • Total pages views
    9.90K

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Ango Hub FQA

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  • What features does Ango Hub provide for data annotation projects?icon plus

Ango Hub Use Cases

Ango Hub is an end-to-end data annotation platform that serves as a launchpad for accelerating AI into production.

The platform offers AI-assisted features such as AutoDetect for auto-labeling objects in a frame and OCR for optical character recognition.

Ango Hub improves annotation quality through workflow assignment, sample labels for training, quality control, real-time troubleshooting, benchmarks, and guidelines.

The platform supports the annotation of multiple data types, including images, videos, text, documents, audio, and DICOM.

Users can track their data annotation projects through review workflows, annotator performance analysis, real-time issue system, user roles and permissions, import data and pre-labels, and analysis and reports.

iMerit combines predictive and automated annotation technology with data annotation experts to deliver high-quality annotated data for AI model training.

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