SafeAtlas-VL is a dataset of 1.5 million annotated instances for multimodal safety evaluation that replaces binary classification with a five-level ordered scale assessing risk across images, user requests, and system responses spanning 15 harm categories. The authors also release SafeAtlas Guard models that perform five-way classification and generate continuous risk scores, reporting competitive performance on existing benchmarks.
