Tracking Any Object Amodally
Paper
•
2312.12433
•
Published
•
12
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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.
📙 Project Page | 💻 Code | 📎 Paper Link | ✏️ Citations
Contact: 🙋🏻♂️Cheng-Yen (Wesley) Hsieh
Dataset Download
git lfs install
git clone [email protected]:datasets/chengyenhsieh/TAO-Amodal-Segment-Object-Large
After downloading this dataset, check here to see how to train our Amodal Expander with PasteNOcclude.
📚 Dataset Structure
The dataset should be structured like this:
TAO-Amodal-Segment-Object-Large
├── train-2017
│ ├── OOOOOO_XXX.jpg
└── segment_object.json
📚 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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