Rithish007/MScDissertation
MSc Dissertation — Synthetic Underwater Imagery & Sim-to-Real Detection Supporting data and model checkpoints for an MSc dissertation on synthetic benthic-survey imagery generation and sim-to-real object detection. Benthic scenes are generated with diffusion models (Flux.2-dev, Hunyuan), domain-randomised through a Jerlov water-column physics model, then used to train YOLO detectors evaluated zero-shot against the real DUO dataset. Full pipeline code, configs, and training… See the full description on the dataset page: https://huggingface.co/datasets/Rithish007/MScDissertation.
| Author / organization | Rithish007 |
|---|---|
| License (as declared) | cc-by-nc-4.0 |
| Downloads | 159 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 6 September 2026 |
| Last updated at source | 16 September 2026 |
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