"data labelling" is correct and can be used in written English.
You could use it in a context such as “Data labelling is an important part of the data mining process.”.
Data labelling is commonly an expensive process that requires expert handling.
In multi-label data, data labelling is further complicated owing to the experts must label several times each example, as each example belongs to various categories.
"The first product is visual data labelling, but in the future we have a broad vision of what we hope to provide".
This involved segmenting raw data, labelling and coding, while searching for patterns of intersection.
We applied this test to our data, labelling the branch that separates Group 1 from Group 2 as the foreground (Fig. 3).
First Add Data Labels, then Format Data Labels.
SIPRNet carries data labeled "secret" but not more sensitive "top secret" data.
Simplify data labels, and add emphasis using colors, arrows, or labels.
Simplify data labels, and add emphasis to key parts using colors, arrows, or labels.
However, in the era of big data, labeling all data is almost infeasible in some cases.
Simplify data labels by removing generic gridlines and other visual clutter.
