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docs: Better Facial Recognition Clusters #14911

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@aviv926 aviv926 commented Dec 24, 2024

I tried this guide on my library and the results were very promising, I thought I would make a guide that could help more people.
Maybe in the future it will be possible to make this process automatic 🤔

If it doesn't fit the documentation I will pass it on to Community Guides.

@mertalev I would like to know what you think about it and if you have any ideas for correction/improvement.

@aviv926 aviv926 added documentation Improvements or additions to documentation changelog:documentation labels Dec 24, 2024
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github-actions bot commented Dec 24, 2024

📖 Documentation deployed to pr-14911.preview.immich.app

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bo0tzz commented Dec 24, 2024

Would it make sense to apply some of this automatically on a rerun if the library has a large amount of assets?

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aviv926 commented Dec 24, 2024

Would it make sense to apply some of this automatically on a rerun if the library has a large amount of assets?

Not without deleting all previously assigned name data.

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aviv926 commented Dec 24, 2024

mertalev wrote that maybe in the future there will be a refresh button that can prevent this.
https://discord.com/channels/979116623879368755/991643870523830382/1299868293603131505

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A generalization of this guide would be to use OPTICS instead of DBSCAN, which would basically cluster in order from the densest regions to the least dense. This guide is a valid alternative until something like that is implemented.

@@ -69,6 +69,8 @@ Navigating to Administration > Settings > Machine Learning Settings > Facial Rec

:::tip
It's better to only tweak the parameters here than to set them to something very different unless you're ready to test a variety of options. If you do need to set a parameter to a strict setting, relaxing other settings can be a good option to compensate, and vice versa.

You can leran how the tune the result in this [Guide](/docs/guides/better-facial-clusters)
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You can leran how the tune the result in this [Guide](/docs/guides/better-facial-clusters)
You can learn how the tune the result in this [Guide](/docs/guides/better-facial-clusters)

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4 participants