wanwan1111/WeatherReasonSeg
WeatherReasonSeg WeatherReasonSeg is an ECCV 2026 benchmark for weather-aware reasoning segmentation in visual language models. It is designed to evaluate whether a model can still understand a reasoning query and produce an accurate segmentation mask when visual evidence is degraded by fog, rain, snow, or nighttime conditions. This benchmark contains 44,721 image-query pairs and highlights three key aspects: a controllable synthetic subset for severity-aware robustness… See the full description on the dataset page: https://huggingface.co/datasets/wanwan1111/WeatherReasonSeg.
| Author / organization | wanwan1111 |
|---|---|
| License (as declared) | other |
| Downloads | 334 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 22 June 2026 |
| Last updated at source | 22 June 2026 |
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