MemScore
MemScore
In todayâs digital-first world, where visual content dominates social media, education, advertising, and user experience design, the ability to predict and optimize image memorability is more critical than ever. MemScore is your intelligent assistant for analyzing which visuals are most likely to leave a lasting impression.
Research shows that some images are inherently more memorable than others due to factors like structure, color, subject composition, and semantics. Memorability is not just subjectiveâit's measurable and predictable. In the landmark study by Khosla et al. (ICCV 2015), a deep learning model named MemNet was trained on LaMem, a dataset of over 60,000 annotated images, and achieved near-human accuracy in predicting which images people remember.
Building on this, the MemCat dataset introduced by Goetschalckx & Wagemans (2019) categorized images into meaningful typesâsuch as animals, landscapes, and vehiclesâand confirmed the consistency of memorability across diverse groups of viewers.
Further extending these findings, the Memoir Study (Almog et al., 2023) demonstrated that memorability remains consistent across developmental stages, including between adolescents and adults. This confirms that memorability is an intrinsic property of imagesânot just a product of individual experiences.
MemScore applies this cutting-edge research using a powerful deep learning model trained on real human memory data. Simply upload an image, and our systemâpowered by convolutional neural networks (CNNs)âanalyzes its visual features and instantly predicts a memorability score.
This isnât just a numberâit's a strategic tool to help you:
Whether you're a content creator, UX designer, educator, or researcher, MemScore empowers you to make visuals that donât just get seenâthey get remembered.