Looking for recommendations on re-labeling a large number of images in my dataset

I’m looking at the Confusion Matrix on the latest version of my project and realizing part of the problem with my False Negatives is that a whole portion of my dataset is mis-labeled, but the majority of it is fine. Aside from exporting it, running a script to re-label the images and then uploading this back into Roboflow as a separate dataset, what are some of the suggested approaches to this ?

Hi @espressobot - if one class is consistently labeled as another, you can use our class remapping functionality (on the class tab).

You could also tag the impacted images and then create a version of only that tag and then remap just those classes (using the remap classes and filter by tag preprocessing steps). You’d then re-upload those images in a new project with your other images.

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