Community effort: Fine tune object-recognition #94
Replies: 7 comments
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Hey! Thanks for your feedback! There are indeed a few false positives, still.
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So this is the 'solution'? PS: Tomorrow I am back home so I'll look what you really mean |
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Please be civil and note that I'm working on this in my free time. You are free to use a different app or write one yourself. You are even allowed to contribute code or other resources, or take this app and make a new one out of it. To your question:
This does not strictly speaking train the model, but it let's the app know at which point specific labels spit out by the model are useful. |
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Still a bit unhandy ... Is it possible to display it right on the picture for Nextcloud? I don't know how Nextcloud works |
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This is how it is at the moment. If you like I can also setup a file drop where you can upload false-positive images and we will examine them to adjust the thresholds. |
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Yeah better but there's one problem:
Rather set up something where the user can choose on Nextcloud what the picture really is So for they go to a picture that is correct and say 'correct' The only problem is the Maschine learning. It needs an AI that is processing all that information - that's just a lot of work |
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If anybody is doing that - I apprechiate it I didn't work with AIs at the moment so I would have to learn a lot (This is now out-to-date, I just edited it to ... correct my Enlish) |
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Make an option to train the AI (So I guess this is possible? I already heard something from Google you cab train)
It has many false-positives (except for cats) so I would like to train the model (maybe you also should ad an option for the Administrator to allow the users to press 'this is accurate' or 'this is a false positive'
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