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Integrate active learning from one of the previous projects or implement from scratch.
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This is for tracking interest in Active Learning, which is automatically annotating on new labels based on labels that have been done so far. Please :+1: if this is something you'd like.
From an im…
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### Search before asking
- [X] I have searched the YOLOv8 [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussions) and fou…
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@thandi1908 @zcapjdb please read before tomorrow
Suppose we train on dataset S1, then we enrich it with more data S2, S1 and S2 come from the same distribution. The training performance will of co…
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As I user I would like to easily define an active learning loop so I don't have to do a lot of configuration to use active learning.
The starting point would be this tutorial: https://docs.argilla.io…
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For example, I want to take a space_ Llm, perform NER auxiliary annotation. With my corrections and updates, how can I let the model know more information and actively learn
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jan21_2321_pruning: filter out 8500 images / 9000 in cache
jan22_2221_pruning_1000:
- random 8000 sets
- pruned from best 8500 images: start with
`if [int(i) for i in samples_list[1:100].split…
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Hey Jerin I was going through some lectures and tutorials based on active learning. I have prepared a small ppt based on my understanding of active learning and how we should adapt it for our purpose.…
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Hi guys,
Are you planning on implementing support for Active Learning or Online Learning for fast object detection labeling in the near future? Cheers, Sam