INRIA-Horse
Introduced by Frédéric Jurie et al. in Scale-Invariant Shape Features for Recognition of Object Categories
The INRIA-Horse dataset consists of 170 horse images and 170 images without horses. All horses in all images are annotated with a bounding-box. The main challenges it offers are clutter, intra-class shape variability, and scale changes. The horses are mostly unoccluded, taken from approximately the side viewpoint, and face the same direction.
Source: Dynamical And-Or Graph Learning for Object Shape Modeling and DetectionPapers
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