docs: add 360BEV dataset card

README.md

@@ -0,0 +1,137 @@
+---
+annotations_creators:
+- expert-generated
+language_creators:
+- crowdsourced
+language:
+- en
+license: apache-2.0
+multilinguality:
+- monolingual
+size_categories:
+- 10K<n<100K
+source_datasets:
+- original
+task_categories:
+- image-segmentation
+task_ids:
+- semantic-segmentation
+pretty_name: 360BEV
+tags:
+- panoramic
+- bird-eye-view
+- semantic-mapping
+- indoor-mapping
+- 360-camera
+- wacv-2024
+- stanford2d3d
+- matterport3d
+---
+
+# 360BEV: Panoramic Semantic Mapping for Indoor Bird’s-Eye View
+
+[IEEE/CVF WACV 2024] Official Dataset Repository for the **360BEV** benchmark.
+
+- **Project Page:** https://jamycheung.github.io/360BEV.html
+- **GitHub Repository:** https://github.com/InSAI-Lab/360BEV
+- **Paper:** [arXiv:2303.11910](https://arxiv.org/abs/2303.11910)
+- **Model Checkpoints:** [InSAI-Lab/360BEV](https://huggingface.co/InSAI-Lab/360BEV)
+- **Collection:** [360BEV & 360Mapper (WACV 2024)](https://huggingface.co/collections/InSAI-Lab/360bev-and-360mapper-wacv-2024-6ad1bdcdeb1718eb4753c447)
+
+---
+
+## Dataset Description
+
+In this work, mapping from 360° panoramas to BEV semantics, the **360BEV** task, is established for the first time to achieve holistic representations of indoor scenes in a top-down view. Instead of relying on narrow-FoV image sequences, a panoramic image with depth information is sufficient to generate a holistic BEV semantic map.
+
+To benchmark 360BEV, we present two indoor datasets:
+1. **360BEV-Stanford (Stanford-360):** Built on Stanford2D3D, covering 6 indoor areas with egocentric panoramic images, 13 semantic classes, and allocentric top-down BEV semantic maps.
+2. **360BEV-Matterport (Matterport-360):** Built on Matterport3D, covering 86 buildings and 2,030 rooms with 20 semantic categories.
+3. **360FV-Matterport:** Front-view RGB, depth, and semantic segmentation panorama sequences for Matterport3D.
+
+## Dataset Statistics
+
+| Dataset | Split | Scene | Room | Frame | Category |
+| :--- | :---: | :---: | :---: | :---: | :---: |
+| **360BEV-Stanford** | Train | 5 | 215 | 1,040 | 13 |
+| | Val | 1 | 55 | 373 | 13 |
+| | **Total** | **6** | **270** | **1,413** | **13** |
+| **360BEV-Matterport** | Train | 61 | -- | 7,829 | 20 |
+| | Val | 7 | -- | 772 | 20 |
+| | Test | 18 | -- | 2,014 | 20 |
+| | **Total** | **86** | **2,030** | **10,615** | **20** |
+
+## Dataset Structure
+
+After unpacking the archives into the `data/` directory:
+
+```text
+data/
+├── Stanford2D3D
+│   └── area_[1|2|3|4|5a|5b|6]
+│       ├── rgb/*.png
+│       └── semantic/*.png
+│
+├── 360BEV-Stanford
+│   ├── bev/
+│   │   └── *.h5 
+│   ├── train/
+│   │   └── *.png 
+│   └── val/
+│       └── *.png
+│
+├── 360BEV-Matterport
+│   ├── bev/
+│   │   └── *.h5 
+│   ├── train/
+│   │   └── *.png 
+│   ├── val/
+│   │   └── *.png
+│   └── test/
+│       └── *.png
+│
+└── 360FV-Matterport
+    ├── 17DRP5sb8fy/
+    │   ├── depth/*.png
+    │   ├── rgb/*.png
+    │   └── semantic/*.png   
+    └── ...
+```
+
+## Quick Start & Download
+
+### Using Hugging Face CLI (`hf`)
+
+```bash
+# Download entire dataset repository
+hf download InSAI-Lab/360BEV --repo-type dataset --local-dir ./data
+
+# Or download individual archives
+hf download InSAI-Lab/360BEV 360BEV-Stanford.tar.gz --repo-type dataset --local-dir ./data
+hf download InSAI-Lab/360BEV 360BEV-Matterport.tar.gz --repo-type dataset --local-dir ./data
+hf download InSAI-Lab/360BEV 360FV-Matterport.tar.gz --repo-type dataset --local-dir ./data
+```
+
+### Unpacking Archives
+
+```bash
+cd ./data
+tar -xzf 360BEV-Stanford.tar.gz
+tar -xzf 360BEV-Matterport.tar.gz
+tar -xzf 360FV-Matterport.tar.gz
+```
+
+## Citation
+
+```bibtex
+@inproceedings{teng2024_360bev,
+  title={360BEV: Panoramic Semantic Mapping for Indoor Bird's-Eye View}, 
+  author={Teng, Zhifeng and Zhang, Jiaming and Yang, Kailun and Peng, Kunyu and Shi, Hao and Reiß, Simon and Cao, Ke and Stiefelhagen, Rainer},
+  booktitle={2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
+  year={2024}
+}
+```
+
+## License
+
+This dataset is released under the [Apache-2.0 License](https://www.apache.org/licenses/LICENSE-2.0).