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Add CC-BY-NC-4.0 license, citation section, cross-links to code repos

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  ---
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- license: unknown
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  tags:
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  - object-detection
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  - underwater
@@ -17,6 +17,9 @@ physics model, then used to train YOLO detectors evaluated zero-shot against the
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  [DUO dataset](https://github.com/chongweiliu/DUO).
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  Full pipeline code, configs, and training scripts: **[github.com/rithish007/ImgGen_AI](https://github.com/rithish007/ImgGen_AI)**
 
 
 
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  Classes: `starfish`, `sea_urchin`, `scallop`.
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@@ -67,3 +70,49 @@ no randomization at all.
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  it's included here for completeness/reproducibility, not as a paired dataset+weights set.
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  - Scallop and diver false-positive behaviour is under active investigation; see the GitHub repo
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  for the current state of that analysis.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ license: cc-by-nc-4.0
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  tags:
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  - object-detection
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  - underwater
 
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  [DUO dataset](https://github.com/chongweiliu/DUO).
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  Full pipeline code, configs, and training scripts: **[github.com/rithish007/ImgGen_AI](https://github.com/rithish007/ImgGen_AI)**
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+ (MIT license). The descoped Unreal Engine 5.8 simulator arm that preceded this pipeline is
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+ archived at [github.com/rithish007/Shallow_Seabed](https://github.com/rithish007/Shallow_Seabed)
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+ (private, access on request).
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  Classes: `starfish`, `sea_urchin`, `scallop`.
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  it's included here for completeness/reproducibility, not as a paired dataset+weights set.
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  - Scallop and diver false-positive behaviour is under active investigation; see the GitHub repo
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  for the current state of that analysis.
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+
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+ ## License
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+
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+ This dataset (images, labels, and model checkpoints) is released under
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+ [CC-BY-NC-4.0](https://creativecommons.org/licenses/by-nc/4.0/) — reuse and adaptation are
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+ permitted for non-commercial purposes, with attribution. For commercial licensing, contact
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+ the author. The companion `ImgGen_AI` code repository is released separately under the MIT
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+ License.
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+
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+ ## Citation
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+
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+ If you use this dataset, please cite it:
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+
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+ ```bibtex
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+ @dataset{ramamoorthysathya2026dataset,
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+ author = {Ramamoorthy Sathya, Rithish},
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+ title = {{MSc Dissertation Datasets and Model Checkpoints: Synthetic Underwater Imagery and YOLO Detectors}},
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+ year = {2026},
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+ publisher = {Hugging Face},
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+ url = {https://huggingface.co/datasets/ArcaneEvolution/MScDissertation},
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+ note = {CC-BY-NC-4.0. University of Sheffield MSc Robotics Dissertation.}
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+ }
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+ ```
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+
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+ If you use the generation/training pipeline, please also cite the code:
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+
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+ ```bibtex
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+ @software{ramamoorthysathya2026imggen,
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+ author = {Ramamoorthy Sathya, Rithish},
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+ title = {{ImgGen\_AI: Synthetic Underwater Imagery Generation and Sim-to-Real Object Detection}},
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+ year = {2026},
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+ url = {https://github.com/rithish007/ImgGen_AI}
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+ }
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+ ```
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+
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+ If you use the descoped Unreal Engine simulator arm, please cite it separately:
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+
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+ ```bibtex
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+ @software{ramamoorthysathya2026shallowseabed,
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+ author = {Ramamoorthy Sathya, Rithish},
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+ title = {{Shallow\_Seabed: Unreal Engine 5 Synthetic Underwater Scene Simulator}},
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+ year = {2026},
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+ url = {https://github.com/rithish007/Shallow_Seabed},
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+ note = {Private repository, access on request.}
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+ }
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+ ```