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[DOCS] Clustering Tutorial #4245

Merged
merged 3 commits into from Apr 8, 2024
Merged

[DOCS] Clustering Tutorial #4245

merged 3 commits into from Apr 8, 2024

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jacobmarks
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@jacobmarks jacobmarks commented Apr 8, 2024

Workflow tutorial on clustering image datasets in FiftyOne with embeddings

Static PDF here: Clustering Images with Embeddings — FiftyOne 0.24.0 documentation.pdf

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  • Yes. Give a description of this change to be included in the release
    notes for FiftyOne users.

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if this PR is part of a larger change.)

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

  • Documentation
    • Added a new tutorial on clustering images with embeddings, covering basics, feature generation, using K-means and HDBSCAN algorithms, visualizing, and labeling clusters with GPT-4V.
    • Updated tutorials index with a link to the new "Clustering Images with Embeddings" tutorial.

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coderabbitai bot commented Apr 8, 2024

Walkthrough

A fresh tutorial on clustering images with embeddings has been introduced, guiding through the use of Scikit-learn and FiftyOne for this purpose. It spans from the basics of clustering to the application of algorithms like K-means and HDBSCAN, and even includes visualization and labeling with GPT-4V, enriching the learning resources available.

Changes

File Path Change Summary
.../tutorials/clustering.ipynb Introduced a tutorial on clustering images using embeddings with Scikit-learn and FiftyOne.
.../tutorials/index.rst Added a new tutorial card for "Clustering Images with Embeddings" and included a link in the tutorial list.

🐇✨
In the realm of data, under the digital sky,
A new tutorial blooms, its wisdom vast and high.
Clustering images, a dance of dots and lines,
With algorithms as guides, through the data, it winds.
Rejoice in learning, for knowledge is a treasure,
Unlocked by curiosity, beyond any measure.
🌟📚

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Actionable comments posted: 0

Review Status

Configuration used: .coderabbit.yaml

Commits Files that changed from the base of the PR and between aff97ce and 06af687.
Files ignored due to path filters (11)
  • docs/source/_static/images/tutorials/clustering.jpg is excluded by !**/*.jpg, !**/*.jpg
  • docs/source/tutorials/images/clustering_color_by_cluster.gif is excluded by !**/*.gif, !**/*.gif
  • docs/source/tutorials/images/clustering_compute_clusters_operator.gif is excluded by !**/*.gif, !**/*.gif
  • docs/source/tutorials/images/clustering_dataset_in_app.jpg is excluded by !**/*.jpg, !**/*.jpg
  • docs/source/tutorials/images/clustering_filter_by_cluster_number.gif is excluded by !**/*.gif, !**/*.gif
  • docs/source/tutorials/images/clustering_get_clustering_info.jpg is excluded by !**/*.jpg, !**/*.jpg
  • docs/source/tutorials/images/clustering_gpt4v_labeling.gif is excluded by !**/*.gif, !**/*.gif
  • docs/source/tutorials/images/clustering_hdbscan.gif is excluded by !**/*.gif, !**/*.gif
  • docs/source/tutorials/images/clustering_open_embeddings_panel.gif is excluded by !**/*.gif, !**/*.gif
  • docs/source/tutorials/images/clustering_preview.jpg is excluded by !**/*.jpg, !**/*.jpg
  • docs/source/tutorials/images/clustering_umap_limitation.gif is excluded by !**/*.gif, !**/*.gif
Files selected for processing (2)
  • docs/source/tutorials/clustering.ipynb (1 hunks)
  • docs/source/tutorials/index.rst (2 hunks)
Additional comments not posted (4)
docs/source/tutorials/index.rst (1)

162-167: The addition of the "Clustering Images with Embeddings" tutorial card looks good and follows the established format for tutorial cards. Ensure the clustering.html link and the image path ../_static/images/tutorials/clustering.jpg are correct and accessible.

docs/source/tutorials/clustering.ipynb (3)

1-215: The introduction and setup instructions in the tutorial are clear and informative. Ensure that all external links are accurate and that the installation commands for scikit-learn, fiftyone, umap-learn, and CLIP are up-to-date.


216-372: The sections on generating features, clustering, and visualizing clusters are well-explained and demonstrate the use of FiftyOne and Scikit-learn effectively. Ensure that the code snippets are efficient and follow best practices for data processing and visualization.


373-543: The sections on labeling clusters with GPT-4V and the conclusion are well-crafted, providing innovative insights and a comprehensive summary of the tutorial. Ensure the description of GPT-4V integration is accurate and that the conclusion effectively highlights the tutorial's main takeaways.

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Very nice! will pull this into fiftyone==0.23.8 😄

@brimoor brimoor merged commit 85339fc into develop Apr 8, 2024
10 checks passed
@brimoor brimoor deleted the docs/clustering-tutorial branch April 8, 2024 20:37
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2 participants