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- 3388
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- Category
- Drugs and Chemicals
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- 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
- 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 discontinued in 2018. No new images will be added to the collection. Identifiers for pills will not be updated.*** 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 -
C3PI Project Files
133,000 consumer-grade pill images for training pill image recognition algorithms as well as additional project support files -
Download - 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
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Current value: 0 out of 5
- Your Rating
-
Current value: 0 out of 5
- Raters
- 0
- Visits
- 3388
- 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
- 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