  Scientific articles published prior to the "age of digitization" in the late
1990s contain figures which are "trapped" within their scanned pages. While
progress to extract figures and their captions has been made, there is
currently no robust method for this process. We present a YOLO-based method for
use on scanned pages, post-Optical Character Recognition (OCR), which uses both
grayscale and OCR-features. When applied to the astrophysics literature
holdings of the Astrophysics Data System (ADS), we find F1 scores of 90.9%
(92.2%) for figures (figure captions) with the intersection-over-union (IOU)
cut-off of 0.9 which is a significant improvement over other state-of-the-art
methods.
