Pascal Part Matching dataset is a natural image dataset with part annotations with point supervision. The Pascal Part Matching dataset (PPM) is designed to evaluate algorithms on the task of One Shot Part Labeling in the image-to-image scenario. It is a subset of Pascal Part dataset.
This dataset explorer provides a visualization of the Pascal Part Matching dataset. For visualization purposes, all images are resized to 400x400 with overlaid point annotations. The dataset consists of raw images with no overlays and with arbitrary sizes.
Total number of categories: 7 Total number of images: 2,326 Total number of parts: 23,260 (10x per image) Number of pairs: 37,330 pairs in train split 9,060 pairs in test split
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1.0 (November 2017)
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