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task_categories: - object-detection license: mit tags: - computer vision - amodal-tracking - object-tracking - amodal-perception

Segment-Object Dataset

This dataset is collected from LVIS and COCO. We employed the segments in this dataset to implement PasteNOcclude augmentation proposed in Tracking Any Object Amodally.

πŸ“™ Project Page | πŸ’» Code | πŸ“Ž Paper Link | ✏️ Citations

TAO-Amodal

Contact: πŸ™‹πŸ»β€β™‚οΈCheng-Yen (Wesley) Hsieh

Dataset Download

git lfs install
git clone git@hf.co:datasets/chengyenhsieh/TAO-Amodal-Segment-Object-Large

After downloading this dataset, check here to see how to train our Amodal Expander with PasteNOcclude.

πŸ“š Dataset Structure

The dataset should be structured like this:

   TAO-Amodal-Segment-Object-Large
    β”œβ”€β”€ train-2017
    β”‚    β”œβ”€β”€ OOOOOO_XXX.jpg
    └── segment_object.json

πŸ“š File Descriptions

File Name Description
segment_object.json Mask annotations of each segment object

Citation

@misc{hsieh2023tracking,
    title={Tracking Any Object Amodally},
    author={Cheng-Yen Hsieh and Tarasha Khurana and Achal Dave and Deva Ramanan},
    year={2023},
    eprint={2312.12433},
    archivePrefix={arXiv},
    primaryClass={cs.CV}
}
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