Update Notebook - Run with your own feature vectors.

visual-layer / fastdup

fastdup is a powerful free tool designed to rapidly extract valuable insights from your image & video datasets. Assisting you to increase your dataset images & labels quality and reduce your data operations costs at an unparalleled scale.

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Update Notebook - Run with your own feature vectors. #279

Closed dnth closed 9 months ago

dnth commented 9 months ago

This PR updates the notebook that guides users on how to run fastdup using their own feature vectors. The notebook walks through an end-to-end example where we compute the feature vectors using DINOv2s and then load it into fastdup.

Link to Colab Notebook - https://colab.research.google.com/github/visual-layer/fastdup/blob/dnth/nb-feature-vec/examples/feature_vectors.ipynb

Also updated the header and footer badges.

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review-notebook-app[bot] commented 9 months ago

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