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Datasets - Annotation/Merging/Consolidation

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Summary

Service provider will propose the services for data annotation (both manual and automatic). As the result of the service, the documentation of the ways in which the data can be annotated as well as, we are able to provide annotated databases.

S00063
Version: 1.9

  • arable farming
  • horticulture
  • viticulture
  • collection of test data
  • provision of datasets
  • physical system
  • software or AI model
  • Location: in Poland
  • Offered by: L-PIT

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Description

In this service, we will propose procedures for both manual and automatic data anotation. We will offer the ways in which data collected by agriFoodTEF's technical infrastructure can be marked and assigned to specific classes. We will also offer the ways in which data can be docummented and stored in the datasets. Moreover, feature extraction procedures can be offered.