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[DOCS] Zero-Shot Image Classification Tutorial #4133

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merged 5 commits into from
Mar 15, 2024

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jacobmarks
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Tutorial showing off zero-shot image classification workflows with FiftyOne, including loading CLIP, OpenCLIP, and Hugging Face Transformers models for zero-shot image classification, applying to a dataset, and robustly evaluating these predictions.

It highlights:

  • OpenCLIP integration
  • Hugging Face Transformers integration
  • Ultralytics Integration (at the end)
  • The power of the plugin system
  • The flexibility of the filtering/querying in FiftyOne

PDF version attached:

Zero-Shot Image Classification with Multimodal Models and FiftyOne — FiftyOne 0.24.0 documentation.pdf

  • App: FiftyOne application changes
  • Build: Build and test infrastructure changes
  • Core: Core fiftyone Python library changes
  • Documentation: FiftyOne documentation changes
  • Other

@jacobmarks jacobmarks requested a review from brimoor March 7, 2024 04:57
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codecov bot commented Mar 7, 2024

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 15.98%. Comparing base (a4d5e31) to head (c189e2d).
Report is 12 commits behind head on develop.

Additional details and impacted files
@@           Coverage Diff            @@
##           develop    #4133   +/-   ##
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  Coverage    15.98%   15.98%           
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  Files          732      732           
  Lines        82054    82054           
  Branches      1110     1110           
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  Hits         13115    13115           
  Misses       68939    68939           
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@danielgural
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LGTM

@brimoor brimoor force-pushed the docs/zero-shot-classification branch from c189e2d to 4fd7315 Compare March 15, 2024 22:03
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@brimoor brimoor left a comment

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LGTM

@brimoor brimoor merged commit a326539 into develop Mar 15, 2024
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@brimoor brimoor deleted the docs/zero-shot-classification branch March 15, 2024 22:04
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3 participants