Cross-DiPART-PPM dataset is a cross-domain (image-to-diagram) with part annotations with point supervision. The Cross-DiPART-PPM dataset is designed to evaluate algorithms on the task of One Shot Part Labeling in the cross domain image-to-diagram scenario. Natural images with part annotations are obtained from the PPM dataset and diagrams with part annotations are obtained from the DiPART dataset.

This dataset explorer provides a visualization of the Cross-DiPART-PPM 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.

Simple Statistics

Total number of categories: 5
Total number of images: 1,043
Total number of parts: 4,172 (4x per image)
number of pairs: 18,489 pairs in train split
                 4,480 pairs in test split

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The Allen Institute for Artificial Intelligence (C) 2017-2018.


1.0 (November 2017)


Jonghyun Choi (