Data Labeling Statistics 2023
– Everything You Need to Know

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Data Labeling Statistics 2023: Facts about Data Labeling outlines the context of what’s happening in the tech world.

LLCBuddy editorial team did hours of research, collected all important statistics on Data Labeling, and shared those on this page. Our editorial team proofread these to make the data as accurate as possible. We believe you don’t need to check any other resources on the web for the same. You should get everything here only 🙂

Are you planning to form an LLC? Maybe for educational purposes, business research, or personal curiosity, whatever the reason is – it’s always a good idea to gather more information about tech topics like this.

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On this page, you’ll learn about the following:

Top Data Labeling Statistics 2023

☰ Use “CTRL+F” to quickly find statistics. There are total 19 Data Labeling Statistics on this page 🙂

Data Labeling “Latest” Statistics

  • If 80% of your objects fall into one category, then about 80% of the data used to train the model will fall into that category.[1]
  • The task agreement score in this scenario is 67% since there is task agreement for two of the three annotations.[2]
  • The first and second annotations are matched with each other under the task agreement criteria, which apply a threshold of 40% to group annotations based on the agreement score.[2]
  • In 2022, conversational AI systems like chatbots and virtual assistants will handle 70% of client contacts.[3]
  • By 2030, AI has the potential to generate an extra $13 trillion in global economic activity, according to McKinsey.[3]
  • Managed employees classified an event from unstructured text with 80% accuracy compared to 60% for crowdsourced employees.[3]
  • The average accuracy for managed employees and crowdsourced workers in the sentiment analysis job was 50% and 40%, respectively.[3]
  • In 2026, the data labeling industry will expand to 5.5 billion by 2026 and see a CAGR of more than 30% throughout that time.[3]
  • Another excellent user, John Hall, wisely pointed out that you can manually add the number 100% true using the data editor.[4]
  • The managed employees’ mistake rate in the simplest transcribing assignment was 1%, which is much lower than the 4% workers from crowdsourcing.[4]
  • With a 20% price for HITs with up to nine assignments, the total cost for a modest dataset would be $120.[5]
  • When expressing nutrients with recommended daily intakes as a percentage of body weight, round up to the closest 1% DV increment.[6]
  • The nutritional content determined by the laboratory analysis must be at least equal to the value claimed on the label for Class I nutrients, which must be present at 100% or greater of that value.[6]
  • Suppose a database developer employs a 95% prediction interval to determine label values. In that case, the food maker is guaranteed that the nutrients evaluated will fulfill compliance standards in 95% of cases when the FDA evaluates the product for conformity.[6]
  • Consider the following calculations to determine the number of composites needed for larger research to estimate the real mean of the nutrients within 5% of a 5% risk.[6]
  • The limit of quantification is the lowest quantity of analyte in the test sample that generates a signal strong enough to enable the analyte to be determined at least 95% of the time.[6]
  • From the perspective of compliance, factors 5/4 and 5/6, respectively, show the 20% margin of leeway in labeled values for Class II nutrients or for the third group of nutrients.[6]
  • If you look at any of the complex analytical professions, organizing and cleaning data makes up roughly 70% of the work.[7]
  • According to a recent analysis by AI research and consultancy company Cognilytica, preparing, cleaning, and categorizing data takes up more than 80% of businesses’ time on AI initiatives.[8]

Also Read


  1. microsoft –
  2. labelstud –
  3. aimultiple –
  4. webinarcare –
  5. altexsoft –
  6. fda –
  7. techrepublic –
  8. techtarget –

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Steve Goldstein, founder of LLCBuddy, is a specialist in corporate formations, dedicated to guiding entrepreneurs and small business owners through the LLC process. LLCBuddy provides a wealth of streamlined resources such as guides, articles, and FAQs, making LLC establishment seamless. The diligent editorial staff makes sure content is accurate, up-to-date information on topics like state-specific requirements, registered agents, and compliance. Steve's enthusiasm for entrepreneurship makes LLCBuddy an essential and trustworthy resource for launching and running an LLC.

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