TorbenGl/AQUABENCH
AQUABENCH: Evaluating Vision Foundation Models for Underwater Segmentation AQUABENCH is a unified semantic segmentation benchmark for evaluating how well pretrained vision foundation models (VFMs) transfer to underwater imagery. It repurposes nine publicly available underwater datasets into a common image–mask interface with standardized splits, resolutions, and background conventions, while preserving each dataset's original class taxonomy. Paper: AQUABENCH: Evaluating Vision… See the full description on the dataset page: https://huggingface.co/datasets/TorbenGl/AQUABENCH.
| Author / organization | TorbenGl |
|---|---|
| License (as declared) | other |
| Downloads | 588 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 25 September 2026 |
| Last updated at source | 25 September 2026 |
Popularity, last 3 days
588 now (+1 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.