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.

Resources

Name Format Description Link
21 4,000 reference pill images taken under controlled light conditions https://data.lhncbc.nlm.nih.gov/public/Pills/rximage.zip
21 133,000 consumer-grade pill images for training pill image recognition algorithms as well as additional project support files https://data.lhncbc.nlm.nih.gov/public/Pills/index.html
21 sampleData.zip https://data.lhncbc.nlm.nih.gov/public/Pills/sampleData.zip

Tags

  • drugs
  • images
  • dataset
  • data-distribution

Topics

Categories