PASCAL
From Chorus
Revision as of 22:42, 23 November 2010 by Cimpaniulia (Talk | contribs)
Domain | Divers |
Media | Image |
Size | |
Instances | |
File Format | PNG |
Creation Date | |
Task | recognition |
Copyright | |
URL | http://pascallin.ecs.soton.ac.uk/challenges/VOC/databases.html |
Domain
- Datasets Collection
Comments
- Objectives:
- To compile a standardised collection of object recognition databases
- To provide standardised ground truth object annotations across all databases
- To provide a common set of tools for accessing and managing the database annotations
- Available datasets:
- The TU Darmstadt Database (formerly the ETHZ Database)
- The UIUC Image Database for Car Detection
- The VOC2005 Database: Dataset 1
- The VOC2005 Database: Testset 2
- The VOC2006 Database
- The Caltech Database
- The MIT-CSAIL Database of Objects and Scenes
- The TU Graz-02 Database
- 101 Object Categories
Media (image, video, mixed, …)
- Image
Size (no images, in GB, …)
Source (FlickR, Corel)
Annotation type (free text, structured, …)
1. Fully Annotated Databases
- The TU Darmstadt Database (formerly the ETHZ Database)
- The UIUC Image Database for Car Detection
- The VOC2005 Database: Dataset 1
- The VOC2005 Database: Testset 2
- The VOC2006 Database
2. Partially Annotated Databases
- The Caltech Database
- The MIT-CSAIL Database of Objects and Scenes
- The TU Graz-02 Database
3. Unannotated Databases
- 101 Object Categories
Ground truth
- Annotated with ground truth
- Ground truth information in each annotated image includes a bounding box for the objects of interest and might also include pixel segmentation masks or polygonal boundaries. The class label provided by the authors who originally compiled the database is retained and a PASCAL class label added.
Event or project
Task (retrieval, recognition, …)
Format
- PNG format