Datasets:
File size: 2,977 Bytes
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license: apache-2.0
task_categories:
- image-segmentation
task_ids:
- semantic-segmentation
pretty_name: SynPASS
tags:
- panoramic-vision
- autonomous-driving
- semantic-segmentation
- synthetic
- 360-degree
- cvpr-2022
---
# SynPASS: Synthetic Panoramic Semantic Segmentation Benchmark
Official Dataset Repository for the **SynPASS** benchmark (Trans4PASS / Trans4PASS+).
- **GitHub Repository:** https://github.com/InSAI-Lab/Trans4PASS
- **Paper (Trans4PASS, CVPR 2022):** [arXiv:2203.01452](https://arxiv.org/abs/2203.01452)
- **Paper (Trans4PASS+, arXiv 2022):** [arXiv:2207.11860](https://arxiv.org/abs/2207.11860)
- **Model Checkpoints:** [InSAI-Lab/Trans4PASS](https://huggingface.co/InSAI-Lab/Trans4PASS)
---
## Dataset Description
The **SynPASS** dataset contains **9,080** panoramic images (1024x2048) across **22** semantic categories.
The dataset covers diverse scenarios:
- Weather: Cloudy, Foggy, Rainy, Sunny
- Lighting: Day-time, Night-time
### Statistics
| Condition | Cloudy | Foggy | Rainy | Sunny | Total |
| :--- | :---: | :---: | :---: | :---: | :---: |
| **Split (train/val/test)** | 1420/420/430 | 1420/430/420 | 1420/430/420 | 1440/410/420 | 5700/1690/1690 |
| **Split (day/night)** | 1980/290 | 1710/560 | 2040/230 | 1970/300 | 7700/1380 |
| **Total Frames** | 2270 | 2270 | 2270 | 2270 | **9080** |
## File Structure
The dataset archive `SynPASS.tar.gz` (~4.8 GB) unpacks into:
```text
SynPASS/
├── img/
│ ├── cloud/
│ ├── fog/
│ ├── rain/
│ └── sun/
└── semantic/
├── cloud/
├── fog/
├── rain/
└── sun/
```
## Quick Start & Download
Using the Hugging Face CLI:
```bash
# Download dataset archive
hf download InSAI-Lab/SynPASS SynPASS.tar.gz --type dataset --local-dir ./datasets
# Extract archive
cd ./datasets
tar -zxvf SynPASS.tar.gz
```
Using Python (`huggingface_hub`):
```python
from huggingface_hub import hf_hub_download
dataset_path = hf_hub_download(
repo_id="InSAI-Lab/SynPASS",
repo_type="dataset",
filename="SynPASS.tar.gz",
local_dir="./datasets"
)
```
## Citation
```bibtex
@inproceedings{zhang2022bending,
title={Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic Segmentation},
author={zhang, Jiaming and Yang, Kailun and Ma, Chaoxiang and Rei{\ss}, Simon and Peng, Kunyu and Stiefelhagen, Rainer},
booktitle={CVPR},
pages={16917--16927},
year={2022}
}
@article{zhang2022behind,
title={Behind Every Domain There is a Shift: Adapting Distortion-aware Vision Transformers for Panoramic Semantic Segmentation},
author={Zhang, Jiaming and Yang, Kailun and Shi, Hao and Rei{\ss}, Simon and Peng, Kunyu and Ma, Chaoxiang and Fu, Haodong and Wang, Kaiwei and Stiefelhagen, Rainer},
journal={arXiv preprint arXiv:2207.11860},
year={2022}
}
```
## License
This dataset is released under the [Apache-2.0 License](https://www.apache.org/licenses/LICENSE-2.0).
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