The INRIA Horses dataset from Frederic Jurie and Vittorio Ferrari consists of 170 images with one or more horses in side-view at several scales and cluttered background, and 170 images without horses. The annotation contains bounding boxes and binary segmentation masks (fixme?). The protocol entails 50 positive examples for the training and test on the remaining images (120+170). The evaluation criterion is PASCAL 50%. Segmentation is also evaluated on this dataset... using (fixme?)

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