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Computational Photography Project for Pill Identification (C3PI)
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.
Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
"009:25"
]
|
| contactPoint |
{
"fn": "National Library of Medicine",
"@type": "vcard:Contact",
"hasEmail": "mailto:custserv@nlm.nih.gov"
}
|
| description | 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. |
| distribution |
[
{
"@type": "dcat:Distribution",
"title": "Download C3PI Training Images",
"mediaType": "text/html",
"description": "133,000 consumer-grade pill images for training pill image recognition algorithms as well as additional project support files",
"downloadURL": "https://data.lhncbc.nlm.nih.gov/public/Pills/index.html"
},
{
"@type": "dcat:Distribution",
"title": "Download C3PI Reference Images (6.8GB zip file)",
"mediaType": "text/html",
"description": "4,000 reference pill images taken under controlled light conditions",
"downloadURL": "https://data.lhncbc.nlm.nih.gov/public/Pills/rximage.zip"
},
{
"@type": "dcat:Distribution",
"title": "Download C3PI Sample Data (493MB zip file)",
"mediaType": "text/html",
"downloadURL": "https://data.lhncbc.nlm.nih.gov/public/Pills/sampleData.zip"
}
]
|
| identifier | https://datadiscovery.nlm.nih.gov/api/views/5jdf-gdqh |
| issued | 2020-08-06 |
| keyword |
[
"data distribution",
"dataset",
"drugs",
"images"
]
|
| landingPage | https://datadiscovery.nlm.nih.gov/d/5jdf-gdqh |
| license | http://opendefinition.org/licenses/odc-odbl/ |
| modified | 2025-07-16 |
| programCode |
[
"009:041"
]
|
| publisher |
{
"name": "National Library of Medicine",
"@type": "org:Organization"
}
|
| theme |
[
"Chemicals and Drugs"
]
|
| title | Computational Photography Project for Pill Identification (C3PI) |
