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IT Tools: Machine Learning & MLOps

Label Data and Inspect Datasets

Compare Label Studio, CVAT, Labelbox and more, then build live: label images and find errors in FiftyOne.

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Ajay Prajapat

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Ajay Prajapat

AI Educator · Engineer · innovatewithajay.com

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TechlyUpIT TOOLS: MACHINE LEARNING & MLOPSLabel Data andInspect DatasetsFREE WEBINAR TOPIC · VOTE

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What this session would cover

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  1. 1The real problem: bad labels, bad models
  2. 2The tool landscape: Label Studio, CVAT, Labelbox, Roboflow, FiftyOne — what each is for and where they overlap
  3. 3How to choose: team size, integrations, where your data lives, and today's pricing and availability (checked live, not from memory)
  4. 4Live practical task: Label images and find errors in FiftyOne
  5. 5Build the reusable output together: Labelling guidelines doc
  6. 6When you don't need a new tool at all, then live Q&A on your own setup

Who it's for

  • • Students and developers who want hands-on practice with real tools

You'd leave with

  • Labelling guidelines doc
  • A shortlist of 2–3 options from Label Studio, CVAT, Labelbox, Roboflow and others, with the criteria to pick one
  • Hands-on practice: label images and find errors in FiftyOne

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