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Machine learning image recognition from WMS (World Map Service)

PROJECT GOAL: The aim of the project is to identify the geographical coordinates of objects (of different TYPES - each type has a different shape) on the raster map in Web Map Service (WMS).

1. The maps are in WMS format (international standard for creating raster maps).

2. There are 2 maps on which the objects are to be found.

- MAP 1 WMS address: [login to view URL]

- MAP 2 WMS address: [login to view URL]

3. I will deliver samples of each object TYPE - necessary for the network learning process.

4. The program has to find objects on a particular area - whole area of Poland

5. The final amount of the objects to be found can be in range between 0,5 mln and 5 mln items

THE FINAL RESULT: The database with the following data:

1. Object name (type)

2. Geographical coordinates of the object

Skills: Python, Machine Learning (ML), Image Processing, Neural Networks

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About the Employer:
( 1 review ) Nadarzyn, Poland

Project ID: #21393958

68 freelancers are bidding on average $941 for this job

helmot

ArcGis is a powerful tool for maps and satellite images that enables us to deploy a special model for this project. We are a team of AI experts with 5+ years of experience in machine learning and data analysis. specia More

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(136 Reviews)
7.6
skfaroo123

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RobustTechServ

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6.1
zekovicm

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(32 Reviews)
6.2
Mickelson

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i8solutions

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schoudhary1553

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(38 Reviews)
6.0
deepshankarjha

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(12 Reviews)
5.2
asym1999

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(13 Reviews)
5.1
AlexanderPGR

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apextechnomatics

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mugambindwiga

Hello, I'm a python and machine learning expert with experience in geographical analyses using raster files and shape files. Kindly inbox for development of geographical image recognition model.

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4.4
BestService222

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kil1967

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phantom1222

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maryumakhter5

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ninestar801

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freelancerpr0

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murtaza1122

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(1 Review)
4.1