The unprecedented depth of the LSST will pose serious challenges to our detection and measurement algorithms due to the apparent blending of sources. In this session, we will review the current Project plans for detection and deblending, including an update on the new DM deblender, Scarlet-lite. We will then review existing community-built tools for blending studies and hear about ongoing projects evaluating the impact of imperfect detection/deblending for various science targets. This includes uses of synthetic source injection (SSI) for studying the reliability of object detection and measurement in realistically populated scenes. Finally, we would like to discuss potential metrics that could help monitor (de)blending. Anyone with questions or interested in contributing to the session is encouraged to contact the session chair.