Adam Metallo (Digitization Program Office, Smithsonian Institution)
The Yale-Smithsonian Partnership presents: Machine Vision for Cultural Heritage & Natural Science Collections
The mass digitization of visual collections, on the order of hundreds of thousands or millions of images, creates new challenges for curators and researchers alike. Simultaneously, the rapid pace of industry innovation in deep learning (from guiding self-driving cars to captioning smartphone images) demands the attention of library, museum, and academic professionals. Existing practices of cataloging and description can be augmented by recent advancements in machine vision – and human expertise can likewise guide the development of future algorithms for the humanities and sciences alike. This event, held at the Franke Family Digital Humanities Laboratory in Yale’s Sterling Memorial Library, brings together scholars and curators from both institutions for conversations, demonstrations, and future partnerships.
dhlab.yale.edu/machine-vision
Collaboration and Impact
Теги
Yale-Smithsonian PartnershipYale DHLabDigital HumanitiesData ethicsdeep learningconvolutional neural networkssemantic segmentationinternational image interoperability frameworkneural style transferdata sciencedimensionality reductionmanifold learningcomputer visionvariational autoencodersvisualizationgenerative adversarial networksart collectionslibrariesphotographycultural heritagenatural science