Hard part in data labeling is the quality of data required. You need very good experience in various annotation tools to deliver the pixel perfect labeling.
And second part is the volume. Most of the data labeling requires quick data labeling in large scale or large volume.
and third difficult part is that most of the AI and ML companies want there data labeling done in intervals or you may say some time they have big volumes of data and some time they have nothing.
To overcome all the data labeling challenge it is always better to outsource it to a data labeling company like, PBS data labeling services - One of the global leader in data labeling and annotation services.
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