Computational Photography Project for Pill Identification (C3PI)
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- data.virginia.gov
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application/rdfxml +5Updated Feb 26, 2021
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EmailClick to copy linkLink copiedCitedatadiscovery.nlm.nih.gov (2021). Computational Photography Project for Pill Identification (C3PI) [Dataset]. https://healthdata.gov/NIH/Computational-Photography-Project-for-Pill-Identif/5vhs-kfa6csv, application/rssxml, tsv, xml, application/rdfxml, jsonAvailable download formatsDataset updatedFeb 26, 2021Dataset provided bydatadiscovery.nlm.nih.govDescriptionThe Computational Photography Project for Pill Identification (C3PI) was sunset in 2018. No new images will be added to the collection. Identifiers for pills will not be updated. Images and metadata are for research and development purposes only.
The Computational Photography Project for Pill Identification (C3PI) created the RxIMAGE database of freely available high-quality digital images of prescription pills and associated data for use in conducting computer vision research in text- and image-based search and retrieval. Photographs of pills for the RxIMAGE database were taken under laboratory lighting conditions, from a camera directly above the front and the back faces of the pill, at high resolution, and using specialized digital macro-photography techniques. Image segmentation algorithms were then applied to create the JPEG images in the database.
Historical information about the project is available in the NLM archive at https://wayback.archive-it.org/7867/20190423182937/https:/lhncbc.nlm.nih.gov/project/c3pi-computational-photography-project-pill-identification.
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Computational Photography Project for Pill Identification (C3PI) - Archived...
- datadiscovery.nlm.nih.gov
csv, xlsx, xmlUpdated Aug 6, 2020ShareFacebookTwitterEmailClick to copy linkLink copiedCiteNational Library of Medicine (2020). Computational Photography Project for Pill Identification (C3PI) - Archived Data [Dataset]. https://datadiscovery.nlm.nih.gov/Chemicals-and-Drugs/Computational-Photography-Project-for-Pill-Identif/5jdf-gdqhcsv, xlsx, xmlAvailable download formatsDataset updatedAug 6, 2020Dataset authored and provided byNational Library of MedicineDescriptionThe Computational Photography Project for Pill Identification (C3PI) was sunset in 2018. No new images will be added to the collection. Identifiers for pills will not be updated. Images and metadata are for research and development purposes only.
The Computational Photography Project for Pill Identification (C3PI) created the RxIMAGE database of freely available high-quality digital images of prescription pills and associated data for use in conducting computer vision research in text- and image-based search and retrieval. Photographs of pills for the RxIMAGE database were taken under laboratory lighting conditions, from a camera directly above the front and the back faces of the pill, at high resolution, and using specialized digital macro-photography techniques. Image segmentation algorithms were then applied to create the JPEG images in the database.
Historical information about the project is available in the NLM archive at https://wayback.archive-it.org/7867/20190423182937/https:/lhncbc.nlm.nih.gov/project/c3pi-computational-photography-project-pill-identification.
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The Computational Photography Project for Pill Identification (C3PI) was sunset in 2018. No new images will be added to the collection. Identifiers for pills will not be updated. Images and metadata are for research and development purposes only.
The Computational Photography Project for Pill Identification (C3PI) created the RxIMAGE database of freely available high-quality digital images of prescription pills and associated data for use in conducting computer vision research in text- and image-based search and retrieval. Photographs of pills for the RxIMAGE database were taken under laboratory lighting conditions, from a camera directly above the front and the back faces of the pill, at high resolution, and using specialized digital macro-photography techniques. Image segmentation algorithms were then applied to create the JPEG images in the database.
Historical information about the project is available in the NLM archive at https://wayback.archive-it.org/7867/20190423182937/https:/lhncbc.nlm.nih.gov/project/c3pi-computational-photography-project-pill-identification.