A system for adaptive region of interest selection, comprising: an inspection sub-system configured to acquire one or more images of a specimen; and a controller including one or more processors configured to execute a set of program instructions stored in memory, the set of program instructions configured to cause the one or more processors to: receive one or more training images of a specimen from the inspection sub-system; receive one or more training ROI selections within the one or more training images; generate a machine learning classifier based on the one or more training images and the one or more training ROI selections, wherein the machine learning classifier is configured to identify one or more measurements of interest of a specimen based on the one or more training images and the one or more training ROI selections; receive one or more product images of a specimen from the inspection sub-system; generate one or more adaptive regions of interest with the machine learning classifier, wherein generating one or more adaptive regions of interest with the machine learning classifier comprises: receiving one or more product ROI selections within the one or more product images; adaptively modifying one or more characteristics of the one or more product ROI selections with the machine learning classifier to generate the one or more adaptive regions of interest; determine one or more measurements of the specimen within the one or more adaptive regions of interest. an inspection sub-system configured to acquire one or more images of a specimen; and a controller including one or more processors configured to execute a set of program instructions stored in memory, the set of program instructions configured to cause the one or more processors to: receive one or more training images of a specimen from the inspection sub-system; receive one or more training ROI selections within the one or more training images; generate a machine learning classifier based on the one or more training images and the one or more training ROI selections, wherein the machine learning classifier is configured to identify one or more measurements of interest of a specimen based on the one or more training images and the one or more training ROI selections; receive one or more product images of a specimen from the inspection sub-system; generate one or more adaptive regions of interest with the machine learning classifier, wherein generating one or more adaptive regions of interest with the machine learning classifier comprises: receiving one or more product ROI selections within the one or more product images; adaptively modifying one or more characteristics of the one or more product ROI selections with the machine learning classifier to generate the one or more adaptive regions of interest; determine one or more measurements of the specimen within the one or more adaptive regions of interest. receive one or more training images of a specimen from the inspection sub-system; receive one or more training ROI selections within the one or more training images; generate a machine learning classifier based on the one or more training images and the one or more training ROI selections, wherein the machine learning classifier is configured to identify one or more measurements of interest of a specimen based on the one or more training images and the one or more training ROI selections; receive one or more product images of a specimen from the inspection sub-system; generate one or more adaptive regions of interest with the machine learning classifier, wherein generating one or more adaptive regions of interest with the machine learning classifier comprises: receiving one or more product ROI selections within the one or more product images; adaptively modifying one or more characteristics of the one or more product ROI selections with the machine learning classifier to generate the one or more adaptive regions of interest; receiving one or more product ROI selections within the one or more product images; adaptively modifying one or more characteristics of the one or more product ROI selections with the machine learning classifier to generate the one or more adaptive regions of interest; determine one or more measurements of the specimen within the one or more adaptive regions of interest.