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--- |
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language: |
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- en |
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- zh |
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- fr |
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- ja |
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- es |
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license: cc-by-nc-sa-4.0 |
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tags: |
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- Multimedia |
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- Panoramic |
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- Video |
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- Multi-viewpoint |
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viewer: false |
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--- |
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# <i>360+x</i> Dataset |
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For more information, please feel free to check our [project page](https://x360dataset.github.io/). |
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## Overview |
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360+x dataset introduces a unique panoptic perspective to scene understanding, differentiating itself from traditional |
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datasets by offering multiple viewpoints and modalities, captured from a variety of scenes |
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### Key Features: |
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- **Multi-viewpoint Captures:** Includes 360° panoramic video, third-person front view video, egocentric monocular |
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video, and egocentric binocular video. |
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- **Rich Audio Modalities:** Features normal audio and directional binaural delay. |
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- **2,152 multi-model videos** captured by 360 cameras and Spectacles camera (8579k frames in total) Captured in 17 |
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cities across 5 countries, covering 28 scenes ranging from Artistic Spaces to Natural Landscapes. |
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- **Action Temporal Segmentation:** Provides labels for 38 action instances for each video pair. |
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## Download This Repo |
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You can use the following code to download the entire dataset: |
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``` |
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from huggingface_hub import snapshot_download |
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repo_id = "quchenyuan/360x_dataset" |
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snapshot_download(repo_id=repo_id, repo_type="dataset", token={your_token}) |
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``` |
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## Dataset Details |
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### Project Description |
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- **Developed by:** Hao Chen, Yuqi Hou, Chenyuan Qu, Irene Testini, Xiaohan Hong, Jianbo Jiao |
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- **Funded by:** the Ramsay Research Fund, and the Royal Society Short Industry Fellowship |
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- **License:** Creative Commons Attribution-NonCommercial-ShareAlike 4.0 |
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### Sources |
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- **Repository:** Coming Soon |
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- **Paper:** https://arxiv.org/abs/2404.00989 |
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## Dataset Statistics |
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- **Total Videos:** 2,152, split between 464 videos captured using 360 cameras and 1,688 with Spectacles cameras. |
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- **Scenes:** 15 indoor and 13 outdoor, totalling 28 scene categories. |
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- **Short Clips:** The videos have been segmented into 1,380 shorter clips, each approximately 10 seconds long, totalling |
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around 67.78 hours. |
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- **Frames:** 8,579k frames across all clips. |
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## Dataset Structure |
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Our dataset offers a comprehensive collection of panoramic videos, binocular videos, and third-person videos, each pair |
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of videos accompanied by annotations. Additionally, it includes features extracted using I3D, VGGish, and ResNet-18. |
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Given the high-resolution nature of our dataset (5760x2880 for panoramic and binocular videos, 1920x1080 for |
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third-person front view videos), the overall size is considerably large. To accommodate diverse research needs and |
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computational resources, we also provide a lower-resolution version of the dataset (5760x2880 for panoramic， 2432x1216 binocular |
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videos, and 1920x1080 for third-person front view videos) available for download. |
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<b>In this repo, we provide the lower-resolution version of the dataset. To access the high-resolution version, please |
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visit the <a href="https://x360dataset.github.io/">official website</a>.</b> |
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## BibTeX |
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``` |
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@inproceedings{chen2024x360, |
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title={360+x: A Panoptic Multi-modal Scene Understanding Dataset}, |
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author={Chen, Hao and Hou, Yuqi and Qu, Chenyuan and Testini, Irene and Hong, Xiaohan and Jiao, Jianbo}, |
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booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition}, |
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year={2024} |
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} |
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``` |
