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--- |
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license: cc-by-nc-sa-4.0 |
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language: |
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- en |
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- de |
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- vi |
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- gsw |
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tags: |
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- video |
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- audio |
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- speech |
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- image |
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- 6dof |
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size_categories: |
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- n>1T |
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pretty_name: 'The CASTLE 2024 Dataset: Advancing the Art of Multimodal Understanding' |
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--- |
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# What is CASTLE? |
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The CASTLE dataset is a large-scale, multimodal dataset designed for advancing research in lifelogging, human activity recognition, and multimodal retrieval. It provides a rich collection of time-aligned sensor and video data for analysis and benchmarking. See the [Paper](https://doi.org/10.1145/3746027.3758199) (or its [arXiv pre-print](https://arxiv.org/abs/2503.17116)) for more details. |
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You can check our [website](https://castle-dataset.github.io/) for more details. |
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## Characteristics |
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* Captured over **four days** in a controlled environment |
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* **10 participants** engaged in natural activities |
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* **15 video streams** (10 egocentric, 5 static perspectives) |
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* Over **600 hours** of UHD 50fps video with audio |
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* Includes **6DoF IMU, GPS, and biometric data** |
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* **8.22TB** total size |
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## License |
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The CASTLE dataset is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. |
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## Terms of Use |
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By downloading the dataset, you agree to the following terms: |
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* The dataset is provided for research purposes only. |
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* You will not use the dataset for any commercial purposes. |
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* You will not distribute the dataset or any derivative works to others. |
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* You will provide appropriate credit to the dataset authors in your publications. |
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If you are using the dataset in your research, please consider citing the following paper: |
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```bibtex |
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@inproceedings{10.1145/3746027.3758199, |
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author = {Rossetto, Luca and Bailer, Werner and Dang-Nguyen, Duc-Tien and Healy, Graham and J\'{o}nsson, Bj\"{o}rn \TH{}\'{o}r and Kongmeesub, Onanong and Le, Hoang-Bao and Rudinac, Stevan and Sch\"{o}ffmann, Klaus and Spiess, Florian and Tran, Allie and Tran, Minh-Triet and Tran, Quang-Linh and Gurrin, Cathal}, |
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title = {The CASTLE 2024 Dataset: Advancing the Art of Multimodal Understanding}, |
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year = {2025}, |
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isbn = {9798400720352}, |
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publisher = {Association for Computing Machinery}, |
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address = {New York, NY, USA}, |
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url = {https://doi.org/10.1145/3746027.3758199}, |
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doi = {10.1145/3746027.3758199}, |
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booktitle = {Proceedings of the 33rd ACM International Conference on Multimedia}, |
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pages = {12629–12635}, |
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numpages = {7}, |
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keywords = {dataset, egocentric vision, lifelogging, multi-perspective video, multimodal understanding}, |
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location = {Dublin, Ireland}, |
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series = {MM '25} |
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} |
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``` |
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# Challenges |
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We are organizing a series of challenges to encourage the research community to explore and utilize the CASTLE dataset. |
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To see the list of challenges and their details, please visit the [Challenges](https://castle-dataset.github.io/challenges/) page on the website. |
