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| Source: | Contracts Finder |
| Notice Type: | Award notice |
| Buyer: | Cefas |
| Main Category: | Services |
| Procurement Method: | Open procedure (below threshold) |
| Tender Status: | Closed |
Pipeline status
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Application Deadline
8 August 2023
Closed
Estimated Value
£40,000
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| £40,000 |
| Release Date: | 14 September 2023 |
| Application Deadline: | 8 August 2023 |
| Contract Start Date: | 11 September 2023 |
| Contract End Date: | 31 March 2024 |
| Contract Duration: | 7 months |
| Procurement ID (OCID): | ocds-b5fd17-24325545-e930-4ad4-80f8-14c81ae390b6 |
| Notice Reference: | 81139f0d-dce3-47de-8df9-14fb8ea0dcb3-680701 |
View Original Notice
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Awarded to
| Award value: | £46,500 |
| Award decision date: | 31 August 2023 |
| Award status: | Active |
The Ocean Country Partnership Programme (OCPP) was announced in 2021 as a key bilateral aid programme under the £500m 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. The supplier will annotate approximately 7,000 images, collected from 8 beaches along the Ghanaian coast during the wet and dry season. The supplier will use a photo guide provided to them by Cefas, which will contain example images for the 89 litter categories. In addition, the supplier 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.
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