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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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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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```
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