Exact(3)
Types of data sets that can be studied with PH include finite metric spaces, digital images, level sets of real-valued functions, and networks (see Section 5.1).
Most of the single criteria are rated multi-dimensionally: reporting: yes/no; correctness: yes/no/unclear; presentation: text, numbers, diagrams, tables and/or images; level of evidence: yes, no, lack of evidence indicated (Table 2).
Three level 1 Landsat ETM+ images (level 1 T; path 171, row 59; radiometrically and geometrically corrected prior to distribution) were selected from 27th January, 17th April and 27th November 2001, corresponding to the dry season, beginning of the long rains and end of the short rains, respectively.
Similar(57)
Figure 6 Interoperability picture at the image level.
Table 8 illustrates the confusion matrix at the image level.
The experimental results are reported at the cell level and the image level, respectively.
In this case, images can only be annotated at the image level.
This labeling at the image level is used to quickly label the corresponding patches.
Figure 6 depicts interoperability perspective at the image level according to ISO interoperability schema [22].
Using this model, we can perform training and recognition both at the whole image level without explicit segmentation.
At the image level, annotations consist of simply indicating the objects present in the image, without any spatial information.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com