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Supply of Access to AI Plug&Play – Very-High-Resolution Imagery

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Item Details:

  • Organisation: World Health Organization
  • Reference Number: HQ/BOS/SUP/SHQ/P/0007025
  • Published: 19-Dec-2022
  • Deadline: 16-Jan-2023 at 17:00 hours
  • Time zone: (GMT 1.00) Brussels, Copenhagen, Madrid, Paris
  • Street: Avenue Appia 20
  • City: Geneva
  • Country: Switzerland
  • Zip/Postal Code: 1211
  • Expires: This ad has expired

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  • Item listed by: on 2022-12-27

    Item Description:

    The World Health Organization (WHO) was established in 1948 as a specialized agency of the United Nations. The objective of WHO (www.who.int) is the attainment by all peoples of the highest possible level of health. “Health”, as defined in the WHO Constitution, is a state of complete physical, mental and social well being and not merely the absence of disease or infirmity. WHO’s main function is to act as the directing and coordinating authority on international health work.

    The WHO Secretariat consists of some 8,400 staff at the Organization’s headquarters in Geneva, in the six regional offices and in countries. The Secretariat is headed by the Director-General, who is appointed by the WHA on the nomination of the Executive Board. The head of each regional office is a Regional Director. Regional directors are appointed by the Executive Board in agreement with the relevant regional committee.

    Request For Proposals (RFP)

    The purpose of this RFP is to enter into a contractual agreement with a successful bidder and select a suitable Contractor to supply the access to VHR imagery for machine learning labelling on building footprints and support the corresponding tools related to image access, licensing, and manipulation.

    WHO is an Organization that is dependent on the budgetary and extra-budgetary contributions it receives for the implementation of its activities. Bidders are, therefore, requested to propose the best and most cost-effective solution to meet WHO requirements, while ensuring a high level of service.

    Documents

    2022_068_DDI-DNA_PLug&PLayImagery_20221216_Final.pdf
    Annex 7 – UNGM guide.docx

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