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.zenodo.json
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{
"creators": [
{
"name": "Bradley, John",
"orcid": "0000-0003-3858-848X"
},
{
"name": "Lapp, Hilmar",
"orcid": "0000-0001-9107-0714"
},
{
"name": "Campolongo, Elizabeth G.",
"orcid": "0000-0003-0846-2413"
}
],
"description": "Python package and command line tool that simplifies using the BioCLIP foundation model.",
"keywords": [
"clip",
"biology",
"CV",
"imageomics",
"animals",
"species",
"images",
"taxonomy",
"rare species",
"endangered species",
"evolutionary biology",
"multimodal",
"knowledge-guided",
"python",
"command line",
"bioclip",
"plants",
"fungi",
"genus",
"image classification"
],
"license": {
"id": "MIT"
},
"publication_date": "2024-12-09",
"title": "pybioclip",
"version": "1.2.0",
"funding": [
{
"award": {
"id": "021nxhr62::2118240",
"number": "2118240",
"program": "CISE/OAD",
"title": {
"en": "HDR Institute: Imageomics: A New Frontier of Biological Information Powered by Knowledge-Guided Machine Learning"
}
},
"funder": {
"id": "021nxhr62",
"name": "National Science Foundation"
}
}
],
"references": [
{
"reference": "Stevens S, Wu J, Thompson MJ, Campolongo EG, Song CH, Carlyn DE, Dong L, Dahdul WM, Stewart C, Berger-Wolf T, Chao W-L, Su Y (2024) BioCLIP: A Vision Foundation Model for the Tree of Life. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 19412\u201319424."
}
],
"related_identifiers": [
{
"identifier": "https://github.com/Imageomics/pybioclip/",
"relation_type": {
"id": "isversionof",
"title": {
"de": "Ist eine Version von",
"en": "Is version of"
}
},
"resource_type": {
"id": "software",
"title": {
"de": "Software",
"en": "Software"
}
},
"scheme": "url"
}
],
"resource_type": {
"id": "software",
"title": {
"de": "Software",
"en": "Software"
}
}
}