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- 16937
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- Category
- Drugs and Chemicals
- Permissions
- Public
- Tags
- images, data distribution, drugs, dataset
- Permalink
- https://datadiscovery.nlm.nih.gov/Drugs-and-Chemicals/Computational-Photography-Project-for-Pill-Identif/5jdf-gdqhOpens in new window.
- Short URL
- https://datadiscovery.nlm.nih.gov/d/5jdf-gdqh?category=Drugs-and-Chemicals&view_name=Computational-Photography-Project-for-Pill-IdentifOpens in new window.
- Data Provided By
- National Library of Medicine
- Source Link
- (none)
- Contact Name
- National Library of Medicine
- Contact Email
- custserv@nlm.nih.gov
- Bureau Code
- 009:25
- Program Code
- 009:041
- NLM Organization
- Lister Hill National Center for Biomedical Communications (LHNCBC)
- NLM Products and Services
- Yes
- Special Categories
- ["NLM Products and Services"]
- Terms and Conditions
- https://www.nlm.nih.gov/databases/download/terms_and_conditions.html
- News and Announcements
- The project was discontinued in 2018. For more information regarding the project please see Project History. https://wayback.archive-it.org/7867/20190423182937/https:/lhncbc.nlm.nih.gov/project/c3pi-computational-photography-project-pill-identification
Computational Photography Project for Pill Identification (C3PI)
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.
External Link
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Download C3PI Reference Images (6.8GB zip file)
4,000 reference pill images taken under controlled light conditions -
Download C3PI Training Images
133,000 consumer-grade pill images for training pill image recognition algorithms as well as additional project support files -
Download C3PI Sample Data (493MB zip file)
This information is now on Primer
All the information that is in this pane, and more, is now on Primer, in a more consumable and user friendly format. You can also edit metadata from this page.
Take me there!- Community Rating
-
Current value: 0 out of 5
- Your Rating
-
Current value: 0 out of 5
- Raters
- 0
- Visits
- 16937
- Downloads
- 0
- Comments
- 0
- Contributors
- 0
- Category
- Drugs and Chemicals
- Permissions
- Public
- Tags
- images, data distribution, drugs, dataset
- Permalink
- https://datadiscovery.nlm.nih.gov/Drugs-and-Chemicals/Computational-Photography-Project-for-Pill-Identif/5jdf-gdqhOpens in new window.
- Short URL
- https://datadiscovery.nlm.nih.gov/d/5jdf-gdqh?category=Drugs-and-Chemicals&view_name=Computational-Photography-Project-for-Pill-IdentifOpens in new window.
- Data Provided By
- National Library of Medicine
- Source Link
- (none)
- Contact Name
- National Library of Medicine
- Contact Email
- custserv@nlm.nih.gov
- Bureau Code
- 009:25
- Program Code
- 009:041
- NLM Organization
- Lister Hill National Center for Biomedical Communications (LHNCBC)
- NLM Products and Services
- Yes
- Special Categories
- ["NLM Products and Services"]
- Terms and Conditions
- https://www.nlm.nih.gov/databases/download/terms_and_conditions.html
- News and Announcements
- The project was discontinued in 2018. For more information regarding the project please see Project History. https://wayback.archive-it.org/7867/20190423182937/https:/lhncbc.nlm.nih.gov/project/c3pi-computational-photography-project-pill-identification