--- title: "CEFAS24-111 ITT to provide marine litter image annotation services for multiple countries under the Ocean Country Partnership Programme (OCPP)" ocid: "ocds-b5fd17-f387ccb4-138a-4d16-aa9f-b278311b8c20" canonical_url: "https://d3tenders.com/contract/?ocid=ocds-b5fd17-f387ccb4-138a-4d16-aa9f-b278311b8c20" markdown_url: "https://d3tenders.com/contract/ocds-b5fd17-f387ccb4-138a-4d16-aa9f-b278311b8c20.md" json_url: "https://d3tenders.com/contract/ocds-b5fd17-f387ccb4-138a-4d16-aa9f-b278311b8c20.json" source: "Contracts Finder" current_stage: "Tender" buyer: "CEFAS" published: "2024-09-09" --- # CEFAS24-111 ITT to provide marine litter image annotation services for multiple countries under the Ocean Country Partnership Programme (OCPP) Buyer: CEFAS Current stage: Tender OCID: ocds-b5fd17-f387ccb4-138a-4d16-aa9f-b278311b8c20 [View canonical contract page](https://d3tenders.com/contract/?ocid=ocds-b5fd17-f387ccb4-138a-4d16-aa9f-b278311b8c20) [Download OCDS JSON](https://d3tenders.com/contract/ocds-b5fd17-f387ccb4-138a-4d16-aa9f-b278311b8c20.json) ## Summary The Centre for Environment, Fisheries and Aquaculture Science (Cefas) has initiated a tender process seeking suppliers to provide marine litter image annotation services under the Ocean Country Partnership Programme (OCPP). The project, part of the UK's £500 million Blue Planet Fund, aims to support ODA-eligible countries in enhancing marine science, developing science-based policies, and creating educational resources. The key deliverable involves annotating drone survey images of beaches, aiding in training machine learning algorithms to detect and analyse marine litter. This open procedure tender, classified under data analysis services, is scheduled to close on 20th September 2024, with the contract period running from 10th October 2024 to 31st March 2026. The total contract value is up to £120,000, though the exact volume of work may vary based on demand. This tender provides a significant opportunity for businesses specialising in data analysis, image-processing software development, and environmental consultancy. Small and medium-sized enterprises (SMEs) with expertise in machine learning, image annotation, and environmental monitoring stand to benefit greatly. The deployment of advanced analytical tools to address marine litter challenges aligns with a global trend towards leveraging technology for environmental sustainability, offering growth potential for businesses equipped to deliver high-quality data services. Interested suppliers are encouraged to secure access to the necessary supplementary files and submit bids to compete for this valuable contract, which will support international efforts in maintaining healthy marine ecosystems. ## Notice The Ocean Country Partnership Programme (OCPP) is funded through official development assistance (ODA) as part of the UK's PS500 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 bottles) underline the need for large numbers of quality assured annotation data. Current OCPP countries which may be included in this Contract are: Belize, Ghana, Senegal, Bangladesh, Solomon Islands, Sri Lanka, Maldives, Madagascar, Mozambique, Vanuatu. The Contract will be awarded for completion of annotation on up to 50,000 images and is dependent on demand from OCPP partner countries. The Contract will be awarded for a maximum of PS120,000 - however, please note that Cefas is unable to guarantee the volume or value of work that will be required within this maximum limit. ACCESS TO Cefas Marine Litter Photo Guide, schema and example images - if you are interested in bidding, please request access via the Message Centre function and you will be sent a zip file containing the supplementary files. These must be treated confidentially and must only be used for the purposes of writing and submitting your bid for this specific Invitation to Tender. 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 searching 'CEFAS24-111 ITT for marine litter image annotation services for OCPP'. ## Key Details | Field | Value | | --- | --- | | Publication source | Contracts Finder | | Latest notice | https://www.contractsfinder.service.gov.uk/Notice/96e5ca9d-7756-4f22-ad1b-77bb23b529f8 | | 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 | 9 Sep 2024 | | Submission deadline | 20 Sep 2024 | | Future notice date | Not specified | | Award date | Not specified | | Contract period | 9 Oct 2024 - 31 Mar 2026 | | Recurrence | Not specified | ## Values | Field | Value | | --- | --- | | Tender value | £120,000 | | 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 ### Codes - 71620000 - Analysis services - 72212328 - Image-processing software development services - 72316000 - Data analysis services ## Release History - 9 Sep 2024 at 13:51 - Tender - Tender Notice - https://www.contractsfinder.service.gov.uk/Notice/96e5ca9d-7756-4f22-ad1b-77bb23b529f8 - 22 Aug 2024 at 13:34 - Tender - Tender Notice - https://www.contractsfinder.service.gov.uk/Notice/94bf5d95-4c0e-43d5-a881-70e5d49779cf ## Documents - https://www.contractsfinder.service.gov.uk/Notice/96e5ca9d-7756-4f22-ad1b-77bb23b529f8 9th September 2024 - Opportunity notice on Contracts Finder - https://www.contractsfinder.service.gov.uk/Notice/94bf5d95-4c0e-43d5-a881-70e5d49779cf 22nd August 2024 - 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-f387ccb4-138a-4d16-aa9f-b278311b8c20. The underlying structured data is available as OCDS JSON at https://d3tenders.com/contract/ocds-b5fd17-f387ccb4-138a-4d16-aa9f-b278311b8c20.json.