SPIN: Hierarchical Segmentation with Subpart Granularity in Natural Images
Paper • 2407.09686 • Published
Datasets:
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End of preview. Expand in Data Studio
Dataset Card: PartInventory
Summary
PartInventory is a fine-grained hierarchical instance-segmentation dataset derived from SPIN (built on PartImageNet). It provides detailed part annotations and serves as a proof of concept for exploring new annotation workflows and more efficient storage formats for large-scale instance segmentation.
Citation
Please cite SPIN and PartImageNet:
SPIN
@misc{myersdean2024spinhierarchicalsegmentationsubpart,
title={SPIN: Hierarchical Segmentation with Subpart Granularity in Natural Images},
author={Josh Myers-Dean and Jarek Reynolds and Brian Price and Yifei Fan and Danna Gurari},
year={2024},
eprint={2407.09686},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2407.09686},
}
PartImageNet
@article{he2021partimagenet,
title={PartImageNet: A Large, High-Quality Dataset of Parts},
author={He, Ju and Yang, Shuo and Yang, Shaokang and Kortylewski, Adam and Yuan, Xiaoding and Chen, Jie-Neng and Liu, Shuai and Yang, Cheng and Yuille, Alan},
journal={arXiv preprint arXiv:2112.00933},
year={2021}
}
Description
PartInventory refines SPIN annotations with more granular labels and updated hierarchies. It is intended to support research on part-level segmentation, hierarchical understanding, and efficient dataset representations (e.g., Parquet/Arrow).
This release is an early, proof-of-concept version. Further expansions are planned.
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