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  ## PartImageNet++ Dataset
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  PartImageNet++ is an extensive dataset designed for robust object recognition and segmentation tasks. This dataset expands upon the original ImageNet dataset by providing detailed part annotations for each object category.
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  We provide a visualization demo tool to explore and inspect the annotations. This tool helps users to better understand the structure and details of the dataset.
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- ---
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- language:
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- - English
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- license:
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- - "MIT"
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- task_categories:
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- - object recognition
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- - part segmentation
 
 
 
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+ ---
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+ license: mit
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+ pretty_name: PartImageNet++
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+ size_categories:
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+ - 100K<n<1M
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+ ---
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  ## PartImageNet++ Dataset
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  PartImageNet++ is an extensive dataset designed for robust object recognition and segmentation tasks. This dataset expands upon the original ImageNet dataset by providing detailed part annotations for each object category.
 
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  We provide a visualization demo tool to explore and inspect the annotations. This tool helps users to better understand the structure and details of the dataset.
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+ ### If you find this useful in your research, please cite this work:
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+ ```
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+ @inproceedings{li2024languagedriven,
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+ author = {Li, Xiao and Liu, Yining and Dong, Na and Sitian Qin and Hu, Xiaolin},
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+ title = {Language-Driven Anchors for Zero-Shot Adversarial Robustness},
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+ booktitle={European conference on computer vision},
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+ year = {2024},
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+ organization={Springer}
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+ }
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+ ```