We've been using dataturks for tagging training data quickly for NLP and computer vision models. The platform is great and allows us to tag larger amounts of data at much faster speeds. Our tagging speed is like 5x what we used to be at. It's also way faster to set up projects compared to systems we've used before and we've seen enormous improvements in precision/recall in our model because of the training data and feedback loop we now have. Some of the main reasons we used dataturks after trying out their platform and several others: -- Ease to set it up initially and for each new dataset -- Some of features that make it really easy for taggers like keyboard shortcuts -- API that can integrate easily into our workflow -- Very intuitive tool - I'm not technical but I can configure each project and set up just about all the requirements on my own. -- Took about 5 minutes to kick off - other ones we tried took far longer to set up

I have really enjoyed using dataturks for labeling. Its really easy to use and offers a wide range of labeling options. I also find it really secure since they provide the option to run the app on client infrastructure. Overall an awesome product !