--- title: "CEFAS23-100 RFQ for annotation of images of marine litter in Ghana" ocid: "ocds-b5fd17-11873bbc-bcee-40ec-9a6e-15ea37292aca" canonical_url: "https://d3tenders.com/contract/?ocid=ocds-b5fd17-11873bbc-bcee-40ec-9a6e-15ea37292aca" markdown_url: "https://d3tenders.com/contract/ocds-b5fd17-11873bbc-bcee-40ec-9a6e-15ea37292aca.md" json_url: "https://d3tenders.com/contract/ocds-b5fd17-11873bbc-bcee-40ec-9a6e-15ea37292aca.json" source: "Contracts Finder" current_stage: "Tender" buyer: "CEFAS" published: "2023-07-17" --- # CEFAS23-100 RFQ for annotation of images of marine litter in Ghana Buyer: CEFAS Current stage: Tender OCID: ocds-b5fd17-11873bbc-bcee-40ec-9a6e-15ea37292aca [View canonical contract page](https://d3tenders.com/contract/?ocid=ocds-b5fd17-11873bbc-bcee-40ec-9a6e-15ea37292aca) [Download OCDS JSON](https://d3tenders.com/contract/ocds-b5fd17-11873bbc-bcee-40ec-9a6e-15ea37292aca.json) ## Summary The Coastal and Marine Services (Cefas) is seeking tenders for the project titled "CEFAS23-100 RFQ for annotation of images of marine litter in Ghana". This project falls under the industry category of Data analysis services and involves identifying marine litter images. The procurement stage is currently active with a tender deadline of August 7, 2023, and a contract period expected to run from August 28, 2023, to March 31, 2024. This tender presents an opportunity for businesses specialising in data analysis, photograph processing, and image-processing software development services to contribute to marine pollution efforts in Ghana. Businesses with expertise in marine litter identification and annotation are well-suited to compete for this contract and support the objectives of the Ocean Country Partnership Programme by producing a comprehensive database of annotated marine litter images. ## Notice The Ocean Country Partnership Programme (OCPP) was announced in 2021 as a key bilateral aid programme under the PS500m Blue Planet Fund. OCPP objectives are to support countries to tackle marine pollution, support sustainable seafood practices and establish designated, well-managed and enforced Marine Protected Areas (MPAs). The overall aim of this project is to produce a machine learning algorithm capable of identifying at least 89 marine litter items as defined by international protocols. The main output of this work will therefore be one of the largest and most detailed databases of high-quality annotated images of marine litter in the world. Cefas require the successful Tenderer to annotate approximately 7,000 images, collected from 8 beaches along the Ghanaian coast during the wet and dry season. The successful Tenderer will use a photo guide provided to them by Cefas, which will contain example images for the 89 litter categories. In addition, the tenderer will assist Cefas to perform inter-rater assessments at the beginning, middle and end of the contract to better understand human error in litter annotations. Cefas will provide Tenderers with access to 10 sample images and a classification scheme (via OneDrive) to aid preparation of a submission and pricing. To access these images, please provide your Microsoft Account details (i.e., Outlook, Hotmail, Live, 0356 email address) to Cefas via the 'message centre' on Atamis, so we can authorise access. To view this opportunity please go to https://defra-family.force.com/s/Welcome You will need to log in or create a new supplier account. The opportunity can then be found by searching 'CEFAS23-100 RFQ for annotation of images of marine litter in Ghana' via the Find Opportunities function. ## Key Details | Field | Value | | --- | --- | | Publication source | Contracts Finder | | Latest notice | https://www.contractsfinder.service.gov.uk/Notice/abb744e7-05e1-4c3d-ad6d-c7d0a24aeac6 | | Notice type | Tender Notice | | Procurement type | Standard | | Procurement category | Services | | Procurement method | Open | | Procurement method details | Open procedure (below threshold) | | Tender suitability | SME | | Awardee scale | Not specified | | All stages | Tender | ## Dates | Field | Value | | --- | --- | | Publication date | 17 Jul 2023 | | Submission deadline | 7 Aug 2023 | | Future notice date | Not specified | | Award date | Not specified | | Contract period | 27 Aug 2023 - 31 Mar 2024 | | Recurrence | Not specified | ## Values | Field | Value | | --- | --- | | Tender value | £50,000 | | Lots value | Not specified | | Awards value | Not specified | | Contracts value | Not specified | ## Status | Field | Value | | --- | --- | | Tender status | Active | | Lots status | Not specified | | Awards status | Not specified | | Contracts status | Not specified | ## Buyer | Field | Value | | --- | --- | | Main buyer | CEFAS | | Locality | LOWESTOFT | | Post town | Norwich | | Postcode | NR33 0HT | | Country | England | | ITL 1 | TLH East (England) | | ITL 2 | TLH6 Suffolk | | ITL 3 | TLH63 East Suffolk | | Local authority | East Suffolk | | Electoral ward | Kirkley & Pakefield | | Westminster constituency | Lowestoft | | Delivery location | Not specified | ## CPV Codes ### Divisions - 71 - Architectural, construction, engineering and inspection services - 72 - IT services: consulting, software development, Internet and support - 79 - Business services: law, marketing, consulting, recruitment, printing and security ### Codes - 71620000 - Analysis services - 72212328 - Image-processing software development services - 72316000 - Data analysis services - 79962000 - Photograph processing services ## Release History - 17 Jul 2023 at 10:48 - Tender - Tender Notice - https://www.contractsfinder.service.gov.uk/Notice/abb744e7-05e1-4c3d-ad6d-c7d0a24aeac6 ## Documents - https://www.contractsfinder.service.gov.uk/Notice/abb744e7-05e1-4c3d-ad6d-c7d0a24aeac6 17th July 2023 - Opportunity notice on Contracts Finder ## Notice URLs - https://defra-family.force.com/s/Welcome ## Provenance This Markdown file is an alternate public rendering of the D3 Tenders contract record. The canonical page is https://d3tenders.com/contract/?ocid=ocds-b5fd17-11873bbc-bcee-40ec-9a6e-15ea37292aca. The underlying structured data is available as OCDS JSON at https://d3tenders.com/contract/ocds-b5fd17-11873bbc-bcee-40ec-9a6e-15ea37292aca.json.