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Hello, We do not have a publicly available labelling tool that leverages BaaL sadly. Did you have a labelling tool in mind that you wanted to integrate with? I know that Label Studio can support active learning, but they do not support the active learning loop (retrain every N examples, recompute uncertainty), so we would have to do it manually. Other than that, it should be pretty straight-forward. Hopefully this help! |
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Hi, I didn't have anything specific in mind, I had a couple of ideas of trying it with basic IPython widgets to pop a carousel with images and an label dropdown below each image (similar to fast.ai's ImageClassifierCleaner), so it could be done in loop, guess it's time to start exploring! I already have a hacky version of this in a more manual way, but having access to a smashing tool like BaaL, I really wanted to try to do it 'the right way'. I just wanted to know if there was some work done down this road, so yes, your answer was very helpful, thanks! I'll let you know if I come up with something good. Cheers! |
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FYI we will add a LabelStudio component in the next release! |
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Hello! We release a new blog post on how to use Label Studio: |
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Thanks for this, it looks fantastic! Hopefully I'll get to try it out during the weekend 👍🏼 |
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Hi all,
I recently discovered ball while looking into active learning, and I'm very excited about it,
I'm currently trying to use this approach with a set of unlabeled images, where instead of pulling the label out of the original dataset (no labels!), some kind of GUI popped up, so you can actively label the images. I was pretty sure someone would have implemented this already, but I couldn't find anything around.
Anyone knows if someone has worked on this? if not, I'm happy to give it a go!
K.
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