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| title: README | |
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| # Imageomics: Bringing machine learning to life. | |
| The Imageomics Institute HuggingFace organization hosts a collection of open-source models and datasets used to study the biological information encoded in images and videos integrated with structured biological knowledge. | |
| ## What is the Imageomics Institute? | |
| The [Imageomics Institute](https://imageomics.org) is funded by the US National Science Foundation's Harnessing the Data Revolution (HDR) program under [Award #2118240](https://www.nsf.gov/awardsearch/showAward?AWD_ID=2118240) (Imageomics: A New Frontier of Biological Information Powered by Knowledge-Guided Machine Learning). It started in Oct 2021. | |
| You can find a full mission, vision, and abstract under the [Imageomics website's About](https://imageomics.osu.edu/about) page. In short, the vision of the Institute is to "establish a new scientific field called **imageomics** that harnesses revolutions in data science and computing, as well as the rapidly expanding collections of biological image data, in order to accelerate biological understanding of phenotypic traits extracted from images of organisms." | |
| ## History | |
| The inception and research of the Imageomics Institute builds heavily on the "Biology-Guided Neural Networks for Discovering Phenotypic Traits" (BGNN) project, also funded by the US National Science Foundation. BGNN itself built in part on the [Phenoscape](https://phenoscape.org) project (funded by NSF multiple times), which started in 2007 and was incubated at the NSF-funded National Evolutionary Synthesis Center (NESCent). | |
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| *Disclaimer: Any opinions, findings and conclusions or recommendations expressed in the materials here are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.* | |