---
license: cc-by-4.0
---

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

# Segment-Object Dataset

<!-- Provide a quick summary of the dataset. -->
 This dataset is collected from [LVIS](https://www.lvisdataset.org/) and [COCO](https://cocodataset.org/#home). We employed the segments in this dataset to implement [PasteNOcclude](https://github.com/WesleyHsieh0806/Amodal-Expander?tab=readme-ov-file#rabbit2-pastenocclude) augmentation proposed in [Tracking Any Object Amodally]((https://tao-amodal.github.io/)).
   
   [**📙 Project Page**](https://tao-amodal.github.io/)  | [**💻 Code**](https://github.com/WesleyHsieh0806/TAO-Amodal) | [**📎 Paper Link**](https://arxiv.org/abs/2312.12433) | [**✏️ Citations**](#citations)
   
   <div align="center">
  <a href="https://tao-amodal.github.io/"><img width="95%" alt="TAO-Amodal" src="https://tao-amodal.github.io/static/images/webpage_preview.png"></a>
   </div>

</br>

Contact: [🙋🏻‍♂️Cheng-Yen (Wesley) Hsieh](https://wesleyhsieh0806.github.io/)

### Dataset Download

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

After downloading this dataset, check [here](https://github.com/WesleyHsieh0806/Amodal-Expander/tree/main?tab=readme-ov-file#running-training-and-inference) to see how to train our Amodal Expander with PasteNOcclude.



## 📚 Dataset Structure

The dataset should be structured like this:
```bash
   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 

<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
```
@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}
}
```