Cefas21-99 Itt Ocpp Image Annotation for Machine Learning Algorithm

GreatbritainTenders notice for Cefas21-99 Itt Ocpp Image Annotation for Machine Learning Algorithm. The reference ID of the tender is 58812633 and it is closing on 03 Nov 2021.

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Tender Details

  • Country: United Kingdom
  • Summary: Cefas21-99 Itt Ocpp Image Annotation for Machine Learning Algorithm
  • GBT Ref No: 58812633
  • Deadline: 03 Nov 2021
  • Competition: ICB
  • Financier: Self Financed
  • Purchaser Ownership: -
  • Tender Value: 30000
  • Notice Type: Tender
  • Document Ref. No.: tender_288477/1006880
  • Purchaser's Detail :
  • Purchaser : DEFRA NETWORK ETENDERING PORTAL
    Pakefield Road Lowestoft NR33 0HT England
    Email :procure@cefas.co.uk

  • Description :
  • Title : CEFAS21-99 ITT OCPP Image annotation for machine learning algorithm
    Location Of Contract : East of England
    Industry : Analysis services - 71620000 Image-processing software development services - 72212328 Data analysis services - 72316000
    Value Of Contract : £30,000
    Description : The Tenderer will be provided with at least 50 categories of marine litter based on UNEP/IOC Litter Categories (Annex III.1 - https://wedocs.unep.org/handle/20.500.11822/30009), and example images of litter categories will also be provided by Cefas. Cefas require the minimum scope to be based on annotating at least 50 litter categories, using pixelwise segmentation, of at least 5,000 high-resolution Unmanned Aerial Vehicle (UAV) images captured of beaches around the UK.Cefas require the Tenderer to also provide pricing and delivery timescales for:- 50 categories, pixelwise segmentation on 5,000, 10,000 and 20,000 images- 77 categories, pixelwise segmentation on 5,000, 10,000 and 20,000 imagesGiven the non-uniform nature of marine litter, quality assurance will be critical to ensure the accuracy of the annotation. Therefore, Cefas require the Tenderer to submit to at least 3 rounds of quality assurance, allowing Cefas marine litter experts to review annotations to ensure accuracy.It is the preference of Cefas for the first iteration of annotation imagery to be completed prior to 20 ...
  • Documents :
  •  Tender Notice

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