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Big Cluster / Face Group appeared with different People #730
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Hi @Cebrain The native tool is only preserved because there is an option to see the clusters that make up the person. Maybe there is a group of faces that you accidentally incorporated into the main person. |
ok.. You have two options.. If they are childrens, or non-Caucasian/Asian people, the model we use has problems identifying these people. This model simply cannot differentiate them well.. 🤦🏻 It is a big problem but there is still no better model. 😞 In both cases you can try to reduce the grouping threshold and the minimum confidence and recluster again. Then, just assuming that this is a random cluster, but not the one that includes all the photos. You can click on the icon of the person with the cross, and the cluster will be hidden. You can then name all the faces individually in the file or photo side panel. This is complicated if it is a very large cluster, because then you must add one by one. |
There is a new model in the latest version, which theoretically should have better results since it was trained with more Asian people, however I don't know if this is your problem. 🤔 |
thanks for response and sorry for the late reply. Sadly nothing happened in my case. The pictures are mostly from european people and not many children. The strange thing was that as i remember, all these pictures was already grouped with other people faces. Is it possible to destroy this group completely and face-recognition rescan the pictures? |
It's strange that you have only one group that big. The reason for maintaining the current clustering algorithm is to avoid accumulating errors by making simple errors- What values do you have in Clustering threshold and Minimum confidence?? By default it is 0.4 and 0.99. Test with 0.3 and 0.9 |
With clustering threshold 0.4 you should already see a big difference. |
Can i rescan only this group after setting to another value or do i need to reset everything? |
No...It is not necessary.. it only affects grouping. There will be smaller clusters but of greater quality. Maybe you should reset the clustering ( |
Ok, i let it scan and give feedback :) |
Ok, feedback is already here 😄 Nothing really changed, but the Group now jumped from 850 pictures to 1250 pictures 😓 |
D'Oh!. It doesn't make sense, but I believe you... 🙈
Maybe by analyzing from scratch with the last update and same model you can have an improvement, since I added a small undocumented change to improve these issues. But I honestly don't think it's worth it. Personally I would try to hide this cluster and eventually use the side panel to name each face little by little. |
Still thanks for help :) |
Problem
I updated in the last months to Nextcloud 28 and in the last days i found an big cluster /face group with all kind of people and images.
Example, the biggest cluster in my library is myself with 1300 photos and this appeared cluster are now 900 faces which includes pictures of myself and many other people i already identified as persons.
Steps to reproduce
Sorry, i have no idea.
Question
My question is now, is there a way to delete this Cluster/ Face group and rescan this pictures?
As i see i can add this group to another person, but this does not help because it is completely mixed.
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