Systems and methods for aligning vectors to an image

A method for label recollection, the method comprising:

• automatically snapping, via a trained ML model, a set of vector labels by aligning one or more of the labels to an image, wherein the alignment is performed at a quality that satisfies a criterion, and wherein the image more recently represents a ROI than the set of vector labels;
• and
• creating a label in and/or removing another label from the automatically snapped set of labels for a newly constructed feature and/or a newly destroyed feature, respectively.

A non-transitory, computer-readable medium comprising instructions executable by at least one processor to perform a method, the method comprising:

• aligning, via a trained ML model, the vectorized labels to a pixel array, wherein the pixel array visually depicts a first ROI, wherein the vectorized labels describe a second ROI, wherein the alignment is performed at a quality that satisfies a criterion;
• and
• outputting the pixel array and the aligned labels as the training data for another ML model.