PEIPA
From Chorus
Revision as of 15:39, 24 November 2010 by Cimpaniulia (Talk | contribs)
Domain | Divers |
Media | Image, Video, Text |
Size | |
Instances | |
File Format | GIF, PNG, PPM |
Creation Date | |
Task | Divers |
Copyright | |
URL | http://peipa.essex.ac.uk/benchmark/databases/index.html |
Domain
- Multipurpose Image Archive (PEIPA, the Pilot European Image Processing Archive)
- Datasets are available in the following categories:
- astronomical imagery
- imagery from books
- CAD models
- content-based image retrieval
- colour
- faces and facial expressions
- forensic
- handwriting
- medical
- motion
- natural scenes
- object recognition
- range data
- remote sensing
- segmentation
- stereo
- surveillance
- texture
- unclassified
Comments
- Faces and Facial Expressions, Handwriting, Medical, Motion, Object Recognition, Surveillance Images, etc.
- PEIPA is an archive relating to image processing and analysis, with emphasis on computer vision. Its principal aim is to provide information, datasets and software that allow the effectiveness of algorithms to be measured and compared. This is known variously as performance characterization, performance estimation and benchmarking.
Media (image, video, mixed, …)
- Image
Size (no images, in GB, …)
Source (FlickR, Corel)
Annotation type (free text, structured, …)
Ground truth
Event or project
Task (retrieval, recognition, …)
Format
- Various formats
Quality (resolution)
Creation date
Copyright
- The development and maintenance of the PEIPA web-site is currently funded under a European project entitled Performance Characterization in Computer Vision (PCCV). This project was set up by Patrick Courtney while at Visual Automation in Manchester (UK), though it has been managed by Neil Thacker of ISBE, University of Manchester since Patrick moved to Perkin-Elmer. The other partners in PCCV are Henrick Christensen of KTH in Stockholm (Sweden) and Adrian Clark of the University of Essex in Colchester (UK), where these pages reside.
URL
Categories: Divers | Image, Video, Text | GIF, PNG, PPM | Dataset | Image | Text | Video | GIF | PNG | PPM