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Hello,
are you planning on integrating DINO-2 for faster and more accurate results for bbox+labels, rather than grounded-dino?
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I ran `base_model.label` and now have a nice `dataset` folder with all my images and annotations. Is there an easy way/app that I can use to visually confirm that the annotations are correct?
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looks promising! so if I understand correctly - there are two phases: (1) auto-label an image dataset, something that you already showed in the G-SAM previous video (2) split the dataset to test/train…