Image annotating tools for agricultural purpose - A requirements study

Main Article Content

Marcin Bator
Maciej Pankiewicz


Keywords : constraint-based algorithm, line, milling, measurement
Abstract
Images of natural scenes, like those relevant for agriculture, are characterised with a variety of forms of objects of interest and similarities between objects that one might want to discriminate. This introduces uncertainty to the analysis of such images. Requirements for an image annotation tool to be used in pattern recognition design for agriculture were discussed. A selection of open source annotating tools were presented. Advices how to use the software to handle uncertainty and missing functionalities were described.

Article Details

How to Cite
Bator, M., & Pankiewicz, M. (2019). Image annotating tools for agricultural purpose - A requirements study. Machine Graphics and Vision, 28(1/4), 69–77. https://doi.org/10.22630/MGV.2019.28.1.7
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