Cefas24-111 Itt to Provide Marine Litter Image Annotation Services for Multiple Countries under the Ocean Country Partnership Programme (Ocpp)

GreatbritainTenders notice for Cefas24-111 Itt to Provide Marine Litter Image Annotation Services for Multiple Countries under the Ocean Country Partnership Programme (Ocpp). The reference ID of the tender is 106963279 and it is closing on 20 Sep 2024.

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Tender Details

  • Country: United Kingdom
  • Summary: Cefas24-111 Itt to Provide Marine Litter Image Annotation Services for Multiple Countries under the Ocean Country Partnership Programme (Ocpp)
  • GBT Ref No: 106963279
  • Deadline: 20 Sep 2024
  • Competition: ICB
  • Financier: Self Financed
  • Purchaser Ownership: Public
  • Tender Value: 120000
  • Notice Type: Tender
  • Document Ref. No.: CF-0353100D8d000003VQwdEAG
  • Purchaser's Detail :
  • Purchaser : CEFAS
    Pakefield Road Lowestoft NR33 0HT UK
    Contact Person : Holly Power
    Email :procure@cefas.gov.uk

  • Description :
  • The Ocean Country Partnership Programme (OCPP) is funded through official development assistance (ODA) as part of the UK's £500 million Blue Planet Fund. Through the OCPP, the UK government partners with ODA-eligible countries to deliver tangible and positive impacts on the livelihoods of coastal communities that depend on healthy marine ecosystems. The programme supports countries to strengthen marine science expertise, develop science-based policy and management tools, and create educational resources for coastal communities.

    Marine litter is a growing threat to ecosystems and the livelihoods that depend on them, particularly in developing states whose economies are often dependent on sectors directly affected by litter. The OCPP is supporting partner countries to utilise the latest automation technologies to address scientific monitoring demands in resource constrained environments.

    Cefas require the Supplier to provide a marine litter annotation service on drone survey images of beaches for OCPP partners countries. These annotations will be used by Cefas and partners to train machine learning algorithm to automatically detect litter, analyse and report on marine litter. However, the high heterogeneity of litter items within classes (e.g. plastic drinking bottles), sometimes subtle differences between classes (plastic drinking bottles vs plastic cleaning bottles) and regional differences in litter generated (e.g. plastic drinking bags vs plastic drinking bott...
  • Documents :
  •  Tender Notice

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