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FiftyOne: Curating Computer Vision Datasets You Can Actually See

Most vision projects are limited by their dataset rather than their architecture, and most teams cannot see their dataset. A hundred thousand images in a folder is not something you can inspect, so problems that would be obvious in ten minutes of looking go unfound for months. This path covers the tool built for that: the data model that makes a dataset queryable, views as chained questions, the analysis methods that rank where to look, and evaluation that turns a metric back into the images behind it.

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Lessons, in order

  1. 1
    AI
    The Case for Looking at Your Data
    Start
  2. 2
    AI
    Views: Turning a Question Into a Query
    Start
  3. 3
    AI
    The Brain: Computing Fields Worth Querying
    Start
  4. 4
    AI
    Evaluation, and Closing the Loop
    Start