jack-www/sauvc-synthetic-far-v1
SAUVC synthetic far-range v1 36,000 synthetic underwater images of the SAUVC (Singapore AUV Challenge) finals course props seen from 8-20 m, rendered in NVIDIA Isaac Sim 5.1 with the OceanSim underwater camera model, for training object detectors that must find props at range. The same 18,000 views are rendered once in 80 m and once in 50 m water, so the two waters can be used as separate datasets (configs water_80m and water_50m) or together. Every image comes with tight boxes… See the full description on the dataset page: https://huggingface.co/datasets/jack-www/sauvc-synthetic-far-v1.
| Author / organization | jack-www |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 0 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 18 October 2026 |
| Last updated at source | 18 October 2026 |
Recent changes
- 18 Oct 2026 License: none → cc-by-4.0
- 18 Oct 2026 Description: none → SAUVC synthetic far-range v1 36,000 synthetic underwater images of the SAUVC (Singapore AUV Challenge) finals course props seen from 8-20 m, rendered in NVIDIA Isaac Sim 5.1 with the OceanSim underwater camera model, for training object det
- 18 Oct 2026 Topics added task_categories:object-detection, task_categories:image-segmentation, synthetic, underwater, robotics, sauvc, auv, isaac-sim, webdataset
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