DiPART (Diagram Part Labeling) dataset is a diagram dataset with part annotations with point supervision. The DiPART dataset is designed to evaluate algorithms on the task of One Shot Part Labeling in the diagram-to-diagram scenario.
This dataset explorer provides a visualization of the DiPART 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: 200 Total number of images: 4,921 Total number of parts: 49,210 (10x per image) Number of pairs: 50,835 pairs in train split 10,631 pairs in val (validation) split 10,055 pairs in test split
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1.0 (November 2017)
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