The Data Explorer process boosts the creation of production-ready AI models with unlabeled visual data
In Brief
Akridata has announced the launch of its flagship product Data Explorer, which helps data scientists explore and analyze visual data. Data Explorer is designed to help data scientists analyze visual data to improve dataset and model training.
Akridata’s platform is able to handle massive volumes of visual data without performance issues or infrastructure limitations. With their secure and scalable platform, users can extract insights they need to improve operations and gain a competitive advantage. They are bringing Data Explorer to the Microsoft Azure Marketplace, providing a higher level of accessibility and ease of use for data scientists.
Data Explorer is a platform for processing visual data in the machine learning life cycle. It enables data scientists to quickly and easily explore, search, compare, and analyze more than one million frames of visual data. By drastically reducing the time spent on data selection and curation, organizations can avoid wasting time on data labeling and accelerate their path to model accuracy.
The platform allows users to explore unlabeled datasets with traditional metadatabased filtering and content-based latentstructure exploration. It can perform image-based similarity searches in seconds and can be refined through interactive scoring to find domainspecific features.
Visual data is one of the key factors in managing the growth of AI. To address this problem, the company switched to a datacentric approach. Data privacy and security are key benefits of the platform. It offers end-to-end data encryption in transit and at rest, integrates with existing authorization mechanisms to secure access to data, and has the capability to analyze and learn from the visual data it stores.
Data Explorer is a cloud-based tool that helps data scientists explore, curate, and use visual data. Now it is available on the Microsoft Azure Marketplace. Akridata is a standing AWS partner and it has expanded its impact in the tech industry.
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