Innovative Data Labeling Projects with Label Studio and DagsHub
One-stop place for your labeling project
Many machine learning projects rely on a qualitative dataset, which is only presented if a clear data pipeline is exist or pre-processing is done before the project start.
One of the most required information in our dataset is the flag or label. The label could represent anything, depending on the business or the project requirements. Sometimes the data have come with the label we need, but most of the projects would not have the label. We need to build it from scratch.
There is a data mining technique to easily label our dataset but nothing beats a manual labelling process. This is why many companies still rely on human labour. However, we don’t need to overcomplicate the labeling work because many tools have been developed to help us collaborate on the manual labeling process.
In this article, I want to explain how we do dataset labeling work with Label Studio and DagsHub. As I want to explain how labeling studio works, it might be good if you understand how DagsHub work which I already explained in another article.
