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CEFAS23-100 RFQ for annotation of images of marine litter in Ghana

Descriptions

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. 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.

Timeline

Published Date :

17th Jul 2023 2 years ago

Deadline :

7th Aug 2023 2 years ago

Contract Start :

28th Aug 2023

Contract End :

31st Mar 2024

Keywords

analytical services

quantitative measurement

qualitative evaluation

chromatography analysis

physicochemical evaluation

sample interpretation

forensic testing

matrix analysis

instrument-based assessment

comparative analysis

image filter design

batch processing pipelines

noise reduction algorithms

HDR tone mapping

color correction modules

edge detection filters

image segmentation tools

photo stabilization

metadata handling

GPU-acceleration integration

data modeling

exploratory data analysis

KPI evaluation

performance benchmarking

statistical inference

correlation studies

multivariate analysis

data mining

segmentation analysis

regression forecasting

film development

image correction

color calibration

photo retouching

slide scanning

negative digitization

print finishing

image restoration

digital post‑production

print enlargement

Tender Lot Details

2 Tender Lots

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Workflows

Status :

Closed

Procedure :

OpenNonOJEU

Suitable for SME :

Yes

Nationwide :

No

Assign to :

Tender Progress :

0%

Details

Notice Type :

CONTRACT

Tender Identifier :

IT-378-246-T: 2024 - 001

Tenderbase ID :

310724019

Low Value :

£100K

High Value :

£1000K

Buyer Information

Name :

Address :

Liverpool Merseyside , Merseyside , L13 0BQ

Website :

N/A

Procurement contact

Name :

Tina Smith

Phone :

0151 252 3243

Email :

tina.smith@shared-ed.ac.uk

Possible Competitors

1 Possible Competitors