licenses and ATTRIBUTION.md files

.gitignore

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+lvos/frames/
+ego4d/frames/

README.md

@@ -3,3 +3,7 @@ license: other
 license_name: custom-split-licensing
 license_link: LICENSE
 ---
+
+# ITTO: Is This Tracker On? A Benchmark for Dynamic Tracking
+
+## installation:

ego4d/ATTRIBUTION.md

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+# Ego4D Dataset Attribution
+
+## Source Dataset
+**Ego4D**: An Egocentric Video Dataset and Benchmark Suite
+
+## Required Citation
+```
+@article{grauman2022ego4d,
+  title={Ego4d: Around the world in 3,000 hours of egocentric video},
+  author={Grauman, Kristen and Westbury, Andrew and Byrnes, Eugene and others},
+  journal={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
+  year={2022}
+}
+```
+
+## License Terms
+- **License**: Custom institutional licenses required
+- **Usage**: Requires separate license agreements with Ego4D consortium
+- **Original Source**: https://ego4d-data.org/
+
+## Content Used
+Installation scripts and annotations only. Users must obtain Ego4D access separately.
+
+## Setup Required
+1. Sign Ego4D license agreements with consortium institutions
+2. Download Ego4D dataset from official source
+3. Run `install_ego4d.sh` with your Ego4D path
+4. Ensure compliance with Ego4D licensing terms
+
+## Important Note
+You must have legitimate access to Ego4D dataset before using these components.
+
+When using this component, you must cite both this dataset and the original Ego4D dataset with the official citation format: "Egocentric Live 4D Perception (Ego4D) Database: A large-scale first-person video database, supporting research in multi-modal machine perception for daily life activity. Ego4D Consortium 2020."

lvos/ATTRIBUTION.md

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+# L-VOS Dataset Attribution
+
+## Source Dataset
+**L-VOS**: A Large-scale Dataset for Long-term Video Object Segmentation
+
+## Required Citation
+```
+@article{hong2021lvos,
+  title={LVOS: A benchmark for long-term video object segmentation},
+  author={Hong, Lingyi and Zhang, Wenchao and Chen, Zhongying},
+  journal={arXiv preprint arXiv:2111.14448},
+  year={2021}
+}
+```
+
+## License Terms
+- **Annotations**: CC BY 4.0
+- **Video Data**: Non-commercial research purposes only
+- **Original Source**: https://lingyihongfd.github.io/lvos.github.io/
+
+## Content Used
+Installation scripts and annotations only. Users must obtain L-VOS dataset separately.
+
+## Setup Required
+1. Download L-VOS dataset from official source
+2. Run `install_lvos.sh` with your L-VOS path
+3. Ensure compliance with L-VOS licensing terms
+
+When using this component, you must cite both this dataset and the original L-VOS dataset.

mose/ATTRIBUTION.md

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+# MOSE Dataset Attribution
+
+## Source Dataset
+**MOSE**: A Dataset for Video Object Segmentation in Complex Scenes
+
+## Required Citation
+```
+@article{ding2022mose,
+  title={MOSE: A Dataset for Video Object Segmentation in Complex Scenes},
+  author={Ding, Henghui and Liu, Chang and Wang, Shuting and Jiang, Xudong},
+  journal={arXiv preprint arXiv:2302.01872},
+  year={2023}
+}
+```
+
+## License Terms
+- **License**: CC BY-NC-SA 4.0
+- **Usage**: Non-commercial research purposes only
+- **Original Source**: https://github.com/henghuiding/MOSE-api
+
+## Content Used
+Video frames and sequences as specified in the dataset manifest.
+
+When using this component, you must cite both this dataset and the original MOSE dataset.

mose/LICENSE

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+mose subset — licensing
+
+media (frames/images) © the mose authors.
+redistributed here under cc-by-nc-sa 4.0 with attribution.
+full text: https://creativecommons.org/licenses/by-nc-sa/4.0/
+
+our mose-derived annotations are licensed cc-by-nc-sa 4.0 (share-alike).
+- you must attribute the original mose dataset and this repository.
+- you may not use the media or these annotations for commercial purposes.
+- if you adapt or build on the mose subset, you must distribute your
+  contributions under the same cc-by-nc-sa 4.0 license.
+
+copyright (c) [year] [your name / lab]
+no warranty; provided “as is”.
+
+note: this license applies only to content in this folder (mose/). it does not
+grant any rights to other datasets referenced elsewhere in this repo.