datasets
FAN-Large (September 2011)
Dataset of 125000 image-caption pairs.
It appeared in the BMVC 2011 paper.
We Are Family Stickmen V 1.01 (April 2012)
Dataset of group photos for human pose estimation with annotated 2D human body part configurations.
It appeared in our ECCV 2010 paper.
Idiap/ETHZ Faces and Poses V 1.0 (April 2010)
Dataset of image-caption pairs with famous persons performing various actions.
It appeared in the NIPS 2009 paper.
ETHZ PASCAL Stickmen V 1.1 (February 2011)
Dataset of annotated 2D human body part configurations (poses)
It appeared in the BMVC 2009 paper.
Buffy Pose Classes V 1.0 (September 2009)
Dataset of video shots annotated by whether they contain any of three poses classes.It appeared in the CVPR 2009 paper.
Buffy Stickmen V 3.0 (August 2011)
Dataset of annotated 2D human body part configurations (poses)
It appeared in the CVPR 2008, CVPR 2009, BMVC 2009 papers and ETH technical report
New in V 3.0:- include new detection windows from the Calvin upper-body detector, covering 95% of the test images
- pose estimation results updated to our ETH tech report #272
Visual Attributes (December 2007)
Dataset for training and testing visual attribute recognition algorithms (e.g. red, striped).
It appeared in the NIPS 2007 paper.
INRIA Horses V 1.03 (November 2009)
Dataset for testing object class detection algorithms.
It appeared in the CVPR 2007, PAMI 2008, and IJCV 2009 papers.
New in V 1.02 and 1.03:- adjusted ground-truth of image 194 to fit the image size
- fixed ground-truth annotation for images 4047 and 4111.
ETHZ Shape Classes V 1.2 (September 2009)
Dataset for testing object class detection and shape matching algorithms.
It appeared in the ECCV 2006, CVPR 2007, PAMI 2008, and IJCV 2010 papers.
Download the entire ETHZ Shape Class Dataset
New in V 1.2:- added ground-truth outlines
- added performance plots for all our papers
You can download binary mask and alternative bounding-box annotations by Xavier Giro. These are useful for algorithms requiring a solid mask as input or for evaluation, rather than a contour. Important: this material is not part of the official protocol. If you want to compare to previous works, please use the annotations in the main package above.
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| Apple Logos (40 images) |
Bottles (48 images) |
Giraffes (87 images) |
Mugs (48 images) |
Swans (32 images) |
ETHZ Toys V 1.0
Dataset for testing algorithms for the recognition of specific objects.
It appeared in the ECCV 2004 and IJCV 2006 papers.
Download the entire ETHZ Toys Dataset
Models
Some objects in the dataset are imaged from multiple viewpoints. Browse All *.
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*Note that the browsable images for this dataset are in jpeg format. Please download the full dataset to obtain the original tiff images.
Test
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