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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

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

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Información del empleador:
( 1 comentario ) Nadarzyn, Poland

Nº del proyecto: #21393958

98 freelancers están ofertando el promedio de $854 para este trabajo

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 Más

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7.6
skfaroo123

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6.4
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6.2
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6.0
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