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Datasets quality assessment

Virtual
Pricing/Discount Options: Call #2
Unique Identifier: 37b7f7f0-2ae3-4cbc-8262-8b0f6d5aad9d

Service Description

With the development of AI models in most sectors of society, the importance of the data used to train and test these models has a been an important concern for the AI supplier. Understanding the quality of the datasets used, especially in sector such as the medical domain where data can be hard to get, is thus a prerequesite to ensure the correct development of AI models and building trust regarding these approach for society.

This service aims to answer this challenge by assessing the quality of datasets provided by the client. The features of the datasets that will be analyzed are based on agreed definition by the AI community: completeness, balance, diversity, accuracy...

The service will help the client that want to ensure the quality of a dataset and understand the features of the data, thus answering the requirements regarding data quality of the AI regulation. A report will be provided to the customer at the end of the service, explaining the methodology and detailling all the analysis and conclusions of the study. The service generally take around one month to be provided once the data has been delivered to LNE. Work is generaly done directly on LNE infrastructure, but in case of confidentiality requirements, it is possible to adapt the work.

Offerings: V-Testing Conformity & Compliance Data (transparency, privacy, fairness, accountability, etc.)
Provider Logo

Provider & Contact

Provider Organisation Laboratoire National De Metrologie Et D'Essais (LNE)
Provider Country France
Published Email guillaume.bernard@lne.fr

Pricing is available to registered users. SMEs receive significant state-aid reductions (GBER) — or, depending on the call, free services during the funded project. Sign in or register to see the price for your organisation.

Operational Details

Service Standards ISO/IEC 5259 (in development)
  • ISO/IEC 5259 (in development)

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