Data Labeling  for ML, part 2
A recent survey we conducted revealed that 79% of respondents with data labeling experience use the in-house approach even while being aware of certain drawbacks of this method. Are there better data labeling approaches and tools to use in ML solutions today?

Soon we will share more on the topic. In the meantime, we would like to check a few things with you via a very simple survey. It will take about 2-3 minutes.
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1. You are: *
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2. Industry you work in: *
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3. Which data labeling solutions have you ever heard of? *
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4. Which data labeling solution(s) is used in your organization?
5. Which data labeling solution(s) do you use for your personal projects?
6. To learn about solutions for your data labeling issues (if any), you prefer to: *
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