The extraction and classification of labeled objects from acquired images are tedious and timeconsuming processes. We designed an integrated software that utilizes computer vision (CV) methods of image processing (IP) to automate the isolation of individual objects from an image and to output results in a format chosen by the user (allowing the use of any machine learning tools to classify those objects). The present proposal focuses on the tool in our software package that allows the user to visualize individual extracted objects in a series of images, sequentially tag each object, and save the results to file.
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